Information retrieval from hypertext: update on the dynamic medical handbook project
HYPERTEXT '89 Proceedings of the second annual ACM conference on Hypertext
A retrieval model incorporating hypertext links
HYPERTEXT '89 Proceedings of the second annual ACM conference on Hypertext
SIGIR '89 Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval
Derivation from first principles of belief values generated in networks by message passing
CSC '89 Proceedings of the 17th conference on ACM Annual Computer Science Conference
Inference networks for document retrieval
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
IEA/AIE '90 Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1
A prototype belief network-based expert systems shell
IEA/AIE '90 Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1
A belief management architecture for diagnostic problem solving
IEA/AIE '90 Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1
SIBYL: a tool for managing group design rationale
CSCW '90 Proceedings of the 1990 ACM conference on Computer-supported cooperative work
SIGSMALL '90 Proceedings of the 1990 ACM SIGSMALL/PC symposium on Small systems
Consensus in a multi-expert system
CSC '90 Proceedings of the 1990 ACM annual conference on Cooperation
An architecture for distributed knowledge based-systems
ACM SIGMIS Database
A goal driven knowledge based system for a domain of private international law
ICAIL '91 Proceedings of the 3rd international conference on Artificial intelligence and law
New direction for uncertainty reasoning in deductive databases
SIGMOD '91 Proceedings of the 1991 ACM SIGMOD international conference on Management of data
A decision-theoretic approach to robotic control systems
ACM SIGART Bulletin
The use of phrases and structured queries in information retrieval
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Preference structure, inference and set-oriented retrieval
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Evaluation of an inference network-based retrieval model
ACM Transactions on Information Systems (TOIS) - Special issue on research and development in information retrieval
Task-structure analysis for knowledge modeling
Communications of the ACM - Special issue on analysis and modeling in software development
Towards a probabilistic modal logic for semantic-based information retrieval
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Trading MIPS and memory for knowledge engineering
Communications of the ACM
Information filtering and information retrieval: two sides of the same coin?
Communications of the ACM - Special issue on information filtering
Interactive image segmentation for radiation treatment planning
IBM Systems Journal
On the conversion of rule bases into belief networks
SAC '92 Proceedings of the 1992 ACM/SIGAPP Symposium on Applied computing: technological challenges of the 1990's
Taxonomic syntax for first order inference
Journal of the ACM (JACM)
FLEXICON: an evaluation of a statistical ranking model adapted to intelligent legal text management
ICAIL '93 Proceedings of the 4th international conference on Artificial intelligence and law
Relevance feedback and inference networks
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Efficient context-sensitive plausible inference for information disclosure
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic indexing based on Bayesian inference networks
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
A comparison of indexing techniques for Japanese text retrieval
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
The effect multiple query representations on information retrieval system performance
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Experimental results on user knowledge assessment with an evidential reasoning methodology
IUI '93 Proceedings of the 1st international conference on Intelligent user interfaces
Statistical inference of unknown attribute values in databases
CIKM '93 Proceedings of the second international conference on Information and knowledge management
A probability propagation in hypertrees
CSC '93 Proceedings of the 1993 ACM conference on Computer science
PODS '94 Proceedings of the thirteenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Preference-based decision making for cooperative knowledge-based systems
ACM Transactions on Information Systems (TOIS)
A competition-based connectionist model for information retrieval using a merged thesaurus
CIKM '94 Proceedings of the third international conference on Information and knowledge management
On modeling information retrieval with probabilistic inference
ACM Transactions on Information Systems (TOIS)
The complexity of logic-based abduction
Journal of the ACM (JACM)
A Method of Combining Multiple Experts for the Recognition of Unconstrained Handwritten Numerals
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-world applications of Bayesian networks
Communications of the ACM
Communications of the ACM
Structure and chance: melding logic and probability for software debugging
Communications of the ACM
Concrete multidimensional statistics in APL2
APL '95 Proceedings of the international conference on Applied programming languages
Corpus-based static branch prediction
PLDI '95 Proceedings of the ACM SIGPLAN 1995 conference on Programming language design and implementation
ACM Computing Surveys (CSUR)
Probabilistic Datalog—a logic for powerful retrieval methods
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Image Interpretation Using Bayesian Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Taxonomic and uncertain integrity constraints in object-oriented databases—the TOP approach
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
On linear potential functions for approximating Bayesian computations
Journal of the ACM (JACM)
Decision making under uncertainty
ACM Computing Surveys (CSUR)
PYTHIA: a knowledge-based system to select scientific algorithms
ACM Transactions on Mathematical Software (TOMS)
IEEE Transactions on Pattern Analysis and Machine Intelligence
A probabilistic relational algebra for the integration of information retrieval and database systems
ACM Transactions on Information Systems (TOIS)
The causal Markov condition, fact or artifact?
ACM SIGART Bulletin
Structured representations and intractability
ACM Computing Surveys (CSUR) - Special issue: position statements on strategic directions in computing research
Bucket elimination: a unifying framework for processing hard and soft constraints
ACM Computing Surveys (CSUR) - Special issue: position statements on strategic directions in computing research
On state-space abstraction for anytime evaluation of Bayesian networks
ACM SIGART Bulletin
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Method combination for document filtering
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Diagnostic reasoning based on a genetic algorithm operating in a Bayesian belief network
Pattern Recognition Letters
Decision-Theoretic Cooperative Sensor Planning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic independence networks for hidden Markov probability models
Neural Computation
Computationally tractable probabilistic modeling of Boolean operators
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Algorithmic complexity in coding theory and the minimum distance problem
STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
Machine interpretation of CAD data for manufacturing applications
ACM Computing Surveys (CSUR)
Complexity, ontology, and the causal Markov assumption
ACM SIGART Bulletin
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
Learning belief networks from data: an information theory based approach
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
Modified Component Valuations in Valuation Based Systems as a Way to Optimize Query Processing
Journal of Intelligent Information Systems
An Extended Relational Data Model For Probabilistic Reasoning
Journal of Intelligent Information Systems
Learning with Probabilistic Representations
Machine Learning - Special issue on learning with probabilistic representations
Machine Learning - Special issue on learning with probabilistic representations
The Sample Complexity of Learning Fixed-Structure Bayesian Networks
Machine Learning - Special issue on learning with probabilistic representations
Adaptive Probabilistic Networks with Hidden Variables
Machine Learning - Special issue on learning with probabilistic representations
Factorial Hidden Markov Models
Machine Learning - Special issue on learning with probabilistic representations
An algorithm for the recovery of both target joint beliefs and full belief from Bayesian networks
ACM-SE 36 Proceedings of the 36th annual Southeast regional conference
Analysis of low density codes and improved designs using irregular graphs
STOC '98 Proceedings of the thirtieth annual ACM symposium on Theory of computing
Application of Spreading Activation Techniques in InformationRetrieval
Artificial Intelligence Review
Using explicit requirements and metrics for interface agent user model correction
AGENTS '98 Proceedings of the second international conference on Autonomous agents
A hierarchical approach to the automatic categorization of medical documents
Proceedings of the seventh international conference on Information and knowledge management
Continual computation policies for utility-directed prefetching
Proceedings of the seventh international conference on Information and knowledge management
Nonlinear time-series prediction with missing and noisy data
Neural Computation
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Making systems sensitive to the user's time and working memory constraints
IUI '99 Proceedings of the 4th international conference on Intelligent user interfaces
Stochastic processes as concurrent constraint programs
Proceedings of the 26th ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Procedural help in Andes: generating hints using a Bayesian network student model
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Structured representation of complex stochastic systems
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Fast probabilistic modeling for combinatorial optimization
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Probabilistic frame-based systems
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Bayesian reasoning in an abductive mechanism for argument generation and analysis
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
A hierarchical model of binocular rivalry
Neural Computation
Using caching to solve larger probabilistic planning problems
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Alternative essences of intelligence
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Bayesian network models for generation of crisis management training scenarios
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Structured probabilistic models: Bayesian networks and beyond
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Proceedings of the 1999 ACM symposium on Applied computing
Axiomatic Approach to Feature Subset Selection Based on Relevance
IEEE Transactions on Pattern Analysis and Machine Intelligence
“Is this document relevant?…probably”: a survey of probabilistic models in information retrieval
ACM Computing Surveys (CSUR)
Implementation and evaluation of rational communicative behavior in coordinated defense
Proceedings of the third annual conference on Autonomous Agents
STOC '99 Proceedings of the thirty-first annual ACM symposium on Theory of computing
System-level partitioning with uncertainty
CODES '99 Proceedings of the seventh international workshop on Hardware/software codesign
Bayesian Landmark Learning for Mobile Robot Localization
Machine Learning
Principles of mixed-initiative user interfaces
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Least expected cost query optimization: an exercise in utility
PODS '99 Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
A Behavior Model for Next Generation Test Systems
Journal of Electronic Testing: Theory and Applications
Variational learning in nonlinear Gaussian belief networks
Neural Computation
A unifying review of linear Gaussian models
Neural Computation
Tolerating penetrations and insider attacks by requiring independent corroboration
Proceedings of the 1998 workshop on New security paradigms
Extending naïve Bayes classifiers using long itemsets
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Bayesian networks for lossless dataset compression
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
SODA '94 Proceedings of the fifth annual ACM-SIAM symposium on Discrete algorithms
Solving crossword puzzles as probabilistic constraint satisfaction
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Simulation-based inference for plan monitoring
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
A framework for recognizing multi-agent action from visual evidence
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Causal discovery from population-based infant birth and death records
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Task-based information management
ACM Computing Surveys (CSUR)
PIC matrices: a computationally tractable class of probabilistic query operators
ACM Transactions on Information Systems (TOIS)
SAC '98 Proceedings of the 1998 ACM symposium on Applied Computing
An Autonomous Active Vision System for Complete and Accurate 3D Scene Reconstruction
International Journal of Computer Vision
An impact analysis method for safety-critical user interface design
ACM Transactions on Computer-Human Interaction (TOCHI) - Special issue on interface design for safety-critical interactive systems: when there is no room for user error
Computer vision and artificial intelligence
Crossroads - Special issue on artificial intelligence
Using Bayesian networks to analyze expression data
RECOMB '00 Proceedings of the fourth annual international conference on Computational molecular biology
Coding-based schemes for fault identification in communication networks
International Journal of Network Management
A multi-attribute utility theoretic negotiation architecture for electronic commerce
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
COGENT: cognitive agent to amplify human perception and cognition
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
An Introduction to Variational Methods for Graphical Models
Machine Learning
A Value-Driven System for Autonomous Information Gathering
Journal of Intelligent Information Systems
Decision-Centric Information Monitoring
Journal of Intelligent Information Systems
Information Systems that Really Support Decision-Making
Journal of Intelligent Information Systems - Special issue on methodologies for intelligent information systems
Link-based and content-based evidential information in a belief network model
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Unsupervised Bayesian visualization of high-dimensional data
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
IEEE Transactions on Pattern Analysis and Machine Intelligence
Graphical models for problem solving
Computing in Science and Engineering
Learning and diagnosis in manufacturing processes through an executable Bayesian network
IEA/AIE '00 Proceedings of the 13th international conference on Industrial and engineering applications of artificial intelligence and expert systems: Intelligent problem solving: methodologies and approaches
A domain specific language framework for non-visual browsing of complex HTML structures
Assets '00 Proceedings of the fourth international ACM conference on Assistive technologies
A neuroidal architecture for cognitive computation
Journal of the ACM (JACM)
Providing adaptive support to the understanding of instructional material
Proceedings of the 6th international conference on Intelligent user interfaces
Lazy Learning of Bayesian Rules
Machine Learning
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: modeling, learning, sampling and computing, Part I
Learning Markov networks: maximum bounded tree-width graphs
SODA '01 Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms
Context-specific Bayesian clustering for gene expression data
RECOMB '01 Proceedings of the fifth annual international conference on Computational biology
Machine Learning
ACM Computing Surveys (CSUR)
Independence is good: dependency-based histogram synopses for high-dimensional data
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Selectivity estimation using probabilistic models
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Probabilistic logic programming with conditional constraints
ACM Transactions on Computational Logic (TOCL)
Dependency preserving probabilistic modeling of switching activity using bayesian networks
Proceedings of the 38th annual Design Automation Conference
Text categorization for multi-page documents: a hybrid naive Bayes HMM approach
Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries
Survivability analysis of networked systems
ICSE '01 Proceedings of the 23rd International Conference on Software Engineering
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
On the quantification of e-business capacity
Proceedings of the 3rd ACM conference on Electronic Commerce
Probabilistic query models for transaction data
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Stochastic lambda calculus and monads of probability distributions
POPL '02 Proceedings of the 29th ACM SIGPLAN-SIGACT symposium on Principles of programming languages
ACM SIGKDD Explorations Newsletter
A probabilistic approach to solving crossword puzzles
Artificial Intelligence - Chips challenging champions: games, computers and Artificial Intelligence
Robust Learning with Missing Data
Machine Learning
An evidential model of distributed reputation management
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Reputation and social network analysis in multi-agent systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Proceedings of the 33nd conference on Winter simulation
Statistical synopses for graph-structured XML databases
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
From promoter sequence to expression: a probabilistic framework
Proceedings of the sixth annual international conference on Computational biology
Relational Data Mining
Learning probabilistic relational models
Relational Data Mining
Models in information retrieval
Lectures on information retrieval
Logic and uncertainty in information retrieval
Lectures on information retrieval
SPARTAN: using constrained models for guaranteed-error semantic compression
ACM SIGKDD Explorations Newsletter
A multilayer personality model
Proceedings of the 2nd international symposium on Smart graphics
The Relational Structure of Belief Networks
Journal of Intelligent Information Systems
Learning Bayesian networks from data: an information-theory based approach
Artificial Intelligence
Qualitative decision theory: from savage's axioms to nonmonotonic reasoning
Journal of the ACM (JACM)
Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive Induction
Machine Learning - Special issue: Unsupervised learning
Searching web databases by structuring keyword-based queries
Proceedings of the eleventh international conference on Information and knowledge management
Bayesianism and Language Change
Journal of Logic, Language and Information
Using Bayesian Networks to Manage Uncertainty in Student Modeling
User Modeling and User-Adapted Interaction
A new Bayesian tree learning method with reduced time and space complexity
Fundamenta Informaticae
On multiple spline approximations for Bayesian computations
Annals of Mathematics and Artificial Intelligence
Combination calculi for uncertainty reasoning: representing uncertainty using distributions
Annals of Mathematics and Artificial Intelligence
A graphical characterization of lattice conditional independence models
Annals of Mathematics and Artificial Intelligence
Gibbs and Markov properties of graphs
Annals of Mathematics and Artificial Intelligence
Advances in the understanding and use of conditional independence
Annals of Mathematics and Artificial Intelligence
Semigraphoids and structures of probabilistic conditional independence
Annals of Mathematics and Artificial Intelligence
Conditional independence structures examined via minors
Annals of Mathematics and Artificial Intelligence
A prospective on mathematics and artificial intelligence: Problem solving=Modeling+Theorem proving
Annals of Mathematics and Artificial Intelligence
Temporal representation and reasoning in artificial intelligence: Issues and approaches
Annals of Mathematics and Artificial Intelligence
Bayes networks for estimating the number of solutions of constraint networks
Annals of Mathematics and Artificial Intelligence
Complex Probabilistic Modeling with Recursive Relational Bayesian Networks
Annals of Mathematics and Artificial Intelligence
Parameter Learning in Object-Oriented Bayesian Networks
Annals of Mathematics and Artificial Intelligence
Self-Conditional Probabilities and Probabilistic Interpretations of Belief Functions
Annals of Mathematics and Artificial Intelligence
On Two Pseudo-Paradoxes in Bayesian Analysis
Annals of Mathematics and Artificial Intelligence
Conditional Independence in A Coherent Finite Setting
Annals of Mathematics and Artificial Intelligence
Separoids: A Mathematical Framework for Conditional Independence and Irrelevance
Annals of Mathematics and Artificial Intelligence
Possibility Theory, Probability Theory and Multiple-Valued Logics: A Clarification
Annals of Mathematics and Artificial Intelligence
Lengths of Semigraphoid Inferences
Annals of Mathematics and Artificial Intelligence
Strong Conditional Independence for Credal Sets
Annals of Mathematics and Artificial Intelligence
On Stochastic Conditional Independence: the Problems of Characterization and Description
Annals of Mathematics and Artificial Intelligence
Probabilistic Reasoning Under Coherence in System P
Annals of Mathematics and Artificial Intelligence
Graded Similarity-Based Semantics for Nonmonotonic Inferences
Annals of Mathematics and Artificial Intelligence
A Qualitative Approach to Syllogistic Reasoning
Annals of Mathematics and Artificial Intelligence
Probabilistic Argumentation Systems and Abduction
Annals of Mathematics and Artificial Intelligence
Properties of Sensitivity Analysis of Bayesian Belief Networks
Annals of Mathematics and Artificial Intelligence
Computational Properties of Two Exact Algorithms for Bayesian Networks
Applied Intelligence
Massively Parallel Probabilistic Reasoning with Boltzmann Machines
Applied Intelligence
Application of Bayesian Network Learning Methods to Waste Water Treatment Plants
Applied Intelligence
Optimal Selection of Uncertain Actions by Maximizing Expected Utility
Autonomous Robots
Desert Island Column: The Books Don't Work
Automated Software Engineering
NEFCLASS-X — a Soft Computing Tool to Build Readable Fuzzy Classifiers
BT Technology Journal
Validation of Computational Models Based on MultipleHeterogeneous Knowledge Sources
Computational & Mathematical Organization Theory
Constraints
Parallel Learning of Belief Networks in Large and Difficult Domains
Data Mining and Knowledge Discovery
Deterministic Generative Models for Fast Feature Discovery
Data Mining and Knowledge Discovery
Automated Remote Sensing with Near Infrared Reflectance Spectra: Carbonate Recognition
Data Mining and Knowledge Discovery
Modelling both the Context and the User
Personal and Ubiquitous Computing
A Note on the Rational Closure of Knowledge Bases with Both Positive and Negative Knowledge
Journal of Logic, Language and Information
A New Criterion for Comparing Fuzzy Logics for Uncertain Reasoning
Journal of Logic, Language and Information
Two Projects for Understanding the Mind: A Response toMorris and Richardson
Minds and Machines
Minds and Machines
Learning Causes: Psychological Explanations of Causal Explanation^1
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Explaining Disease: Correlations, Causes, and Mechanisms
Minds and Machines
Simplicity and Robustness of Fast and Frugal Heuristics
Minds and Machines
Bayesian Models for Keyhole Plan Recognition in an Adventure Game
User Modeling and User-Adapted Interaction
Bayesian Update of Recursive Agent Models
User Modeling and User-Adapted Interaction
Tailoring the Interaction with Users in Web Stores
User Modeling and User-Adapted Interaction
Natural Language Processing and User Modeling: Synergies and Limitations
User Modeling and User-Adapted Interaction
Predictive Statistical Models for User Modeling
User Modeling and User-Adapted Interaction
Techniques for Plan Recognition
User Modeling and User-Adapted Interaction
Using Evaluation to Shape ITS Design: Results and Experiences with SQL-Tutor
User Modeling and User-Adapted Interaction
How Optimal Depth Cue Integration Depends on the Task
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: modeling, learning, sampling and computing, Part I
Maximum a Posteriori Estimation of Coupled Hidden Markov Models
Journal of VLSI Signal Processing Systems
Decomposing Bayesian networks: triangulation of the moral graph with genetic algorithms
Statistics and Computing
A simple method for finding a legal configuration in complex Bayesian networks
Statistics and Computing
An efficient algorithm for finding the M most probable configurationsin probabilistic expert systems
Statistics and Computing
On predictive distributions and Bayesian networks
Statistics and Computing
Stable local computation with conditional Gaussian distributions
Statistics and Computing
Maximizing Theory Accuracy Through Selective Reinterpretation
Machine Learning
Structural Modelling with Sparse Kernels
Machine Learning
Three problems in computer science
Journal of the ACM (JACM)
A parallel Lauritzen-Spiegelhalter algorithm for probabilistic inference
Proceedings of the 1994 ACM/IEEE conference on Supercomputing
Information filtering using bayesian networks: effective user interfaces for aviation weather data
Proceedings of the 8th international conference on Intelligent user interfaces
Conditional independence in propositional logic
Artificial Intelligence
The size distribution for Markov equivalence classes of acyclic digraph models
Artificial Intelligence
Context-specific sign-propagation in qualitative probabilistic networks
Artificial Intelligence
simVar: A Similarity-Influenced Question Selection Criterion for e-Sales Dialogs
Artificial Intelligence Review
Hidden Markov Models for Text Categorization in Multi-Page Documents
Journal of Intelligent Information Systems
Combinatorial Information Market Design
Information Systems Frontiers
Rational Coordination in Multi-Agent Environments
Autonomous Agents and Multi-Agent Systems
Rational Communication in Multi-Agent Environments
Autonomous Agents and Multi-Agent Systems
Satisficing Equilibria: A Non-Classical Theory of Games and Decisions
Autonomous Agents and Multi-Agent Systems
Autonomous Agents and Multi-Agent Systems
Two Models of Information Costs Based on Computational Complexity
Computational Economics
Intelligent Agents for Proactive Fault Detection
IEEE Internet Computing
Monitoring Complex Systems with Causal Networks
IEEE Computational Science & Engineering
Example-Based Super-Resolution
IEEE Computer Graphics and Applications
Software Measurement: Uncertainty and Causal Modeling
IEEE Software
An Algebra for Probabilistic Databases
IEEE Transactions on Knowledge and Data Engineering
Structuring Knowledge In Vague Domains
IEEE Transactions on Knowledge and Data Engineering
Constructing Efficient Belief Network Structures With Expert Provided Information
IEEE Transactions on Knowledge and Data Engineering
A Guide to the Literature on Learning Probabilistic Networks from Data
IEEE Transactions on Knowledge and Data Engineering
Current Approaches to Handling Imperfect Information in Data and Knowledge Bases
IEEE Transactions on Knowledge and Data Engineering
Using Compiled Knowledge to Guide and Focus Abductive Diagnosis
IEEE Transactions on Knowledge and Data Engineering
Semantics, Consistency, and Query Processing of Empirical Deductive Databases
IEEE Transactions on Knowledge and Data Engineering
Knowledge Conceptualization Tool
IEEE Transactions on Knowledge and Data Engineering
High-Order Pattern Discovery from Discrete-Valued Data
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
Proof of the Correctness of EMYCIN Sequential Propagation Under Conditional Independence Assumptions
IEEE Transactions on Knowledge and Data Engineering
Data Categorization Using Decision Trellises
IEEE Transactions on Knowledge and Data Engineering
Building Probabilistic Networks: 'Where Do the Numbers Come From?' Guest Editors' Introduction
IEEE Transactions on Knowledge and Data Engineering
Network Engineering for Agile Belief Network Models
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering
Constructing the Dependency Structure of a Multiagent Probabilistic Network
IEEE Transactions on Knowledge and Data Engineering
A New Uncertainty Measure for Belief Networks with Applications to Optimal Evidential Inferencing
IEEE Transactions on Knowledge and Data Engineering
Generalized Normal Forms for Probabilistic Relational Data
IEEE Transactions on Knowledge and Data Engineering
Probability Bounds for Goal Directed Queries in Bayesian Networks
IEEE Transactions on Knowledge and Data Engineering
Introduction to the Special Section on Probabilistic Reasoning
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Language for Construction of Belief Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Maximum Entropy Approach to Nonmonotonic Reasoning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Approximating Probabilistic Inference in Bayesian Belief Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Causal Probabilistic Networks with Both Discrete and Continuous Variables
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Approximate Nonmyopic Computation for Value of Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic Network Construction and Updating Techniques for the Diagnosis of Acute Abdominal Pain
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining Belief Networks and Neural Networks for Scene Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Uncertainty Management in Expert Systems
IEEE Expert: Intelligent Systems and Their Applications
A Decision-Theoretic Approach to Planning, Perception, and Control
IEEE Expert: Intelligent Systems and Their Applications
Using Data Quality Measures in Decision-Making Algorithms
IEEE Expert: Intelligent Systems and Their Applications
Incorporating Probabilistic Reasoning in a Reactive Program Debugging System
IEEE Expert: Intelligent Systems and Their Applications
The Paradoxical Success of Fuzzy Logic
IEEE Expert: Intelligent Systems and Their Applications
The scientific value of Bayesian statistical methods
IEEE Expert: Intelligent Systems and Their Applications
Will Domain-Specific Code Synthesis Become a Silver Bullet?
IEEE Intelligent Systems
Constructing Bayesian Networks to Predict Uncollectible Telecommunications Accounts
IEEE Expert: Intelligent Systems and Their Applications
Face detection by aggregated Bayesian network classifiers
Pattern Recognition Letters - In memory of Professor E.S. Gelsema
Searching for the best elimination sequence in Bayesian networks by using ant colony optimization
Pattern Recognition Letters
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Local versus global link information in the Web
ACM Transactions on Information Systems (TOIS)
Perceptual organization based computational model for robust segmentation of moving objects
Computer Vision and Image Understanding
Mini-buckets: A general scheme for bounded inference
Journal of the ACM (JACM)
Qualitative reasoning under ignorance and information-relevant extraction
Knowledge and Information Systems
A theoretical framework for possibilistic independence in a weakly ordered setting
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Process algebras for systems diagnosis
Artificial Intelligence
Wireless local loop media modelling using Bayesian networks
Systems Analysis Modelling Simulation
Variational mixture of Bayesian independent component analyzers
Neural Computation
Optimizing exact genetic linkage computations
RECOMB '03 Proceedings of the seventh annual international conference on Research in computational molecular biology
Model-based inference of haplotype block variation
RECOMB '03 Proceedings of the seventh annual international conference on Research in computational molecular biology
Artificial Intelligence Review
Texture classification by multi-model feature integration using Bayesian networks
Pattern Recognition Letters
XWand: UI for intelligent spaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Towards an Art and Science of Knowledge Engineering: A Case for Belief Networks
IEEE Transactions on Knowledge and Data Engineering
Systems for Knowledge Discovery in Databases
IEEE Transactions on Knowledge and Data Engineering
Learning Over Multiple Temporal Scales in Image Databases
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Information Systems That also Project into the Future
DNIS '02 Proceedings of the Second International Workshop on Databases in Networked Information Systems
A Layered Bayesian Network Model for Document Retrieval
Proceedings of the 24th BCS-IRSG European Colloquium on IR Research: Advances in Information Retrieval
An Empirical Study of Encoding Schemes and Search Strategies in Discovering Causal Networks
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes
EDBT '00 Proceedings of the 7th International Conference on Extending Database Technology: Advances in Database Technology
Distributed Fault Localization in Hierarchically Routed Networks
DSOM '02 Proceedings of the 13th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management: Management Technologies for E-Commerce and E-Business Applications
Supporting Inheritance Mechanisms in Ontology Representation
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
Providing Telecommunication Services through Multi-agent Negotiation
IATA '99 Proceedings of the Third International Workshop on Intelligent Agents for Telecommunication Applications
Neural Belief Propagation without Multiplication
ICCS '01 Proceedings of the International Conference on Computational Science-Part II
ICDT '03 Proceedings of the 9th International Conference on Database Theory
Method for Estimating the Intensity Mapping between MRI Images
IPMI '99 Proceedings of the 16th International Conference on Information Processing in Medical Imaging
Customer-Centered Models for Web-Sites and Intra-Nets
HPCN Europe 2001 Proceedings of the 9th International Conference on High-Performance Computing and Networking
Ascender II, a Visual Framework for 3D Reconstruction
ICVS '99 Proceedings of the First International Conference on Computer Vision Systems
Procedural Semantics for Fuzzy Disjunctive Programs
LPAR '02 Proceedings of the 9th International Conference on Logic for Programming, Artificial Intelligence, and Reasoning
A Fragment-Based Approach to Object Representation and Classification
IWVF-4 Proceedings of the 4th International Workshop on Visual Form
Classification Models Based on Approximate Bayesian Networks
Proceedings of the Joint JSAI 2001 Workshop on New Frontiers in Artificial Intelligence
Face Detection by Aggregated Bayesian Network Classifiers
MLDM '01 Proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition
A Framework for Supporting Intelligent Fault and Performance Management for Communication Networks
MMNS '01 Proceedings of the 4th IFIP/IEEE International Conference on Management of Multimedia Networks and Services: Management of Multimedia on the Internet
Optimal Mutation Rate Using Bayesian Priors for Estimation of Distribution Algorithms
SAGA '01 Proceedings of the International Symposium on Stochastic Algorithms: Foundations and Applications
Generating Data Analysis Programs from Statistical Models
SAIG '00 Proceedings of the International Workshop on Semantics, Applications, and Implementation of Program Generation
Improving the Efficiency of Reasoning Through Structure-Based Reformulation
SARA '02 Proceedings of the 4th International Symposium on Abstraction, Reformulation, and Approximation
Using Feature Hierarchies in Bayesian Network Learning
SARA '02 Proceedings of the 4th International Symposium on Abstraction, Reformulation, and Approximation
A Factorized Distribution Algorithm Using Single Connected Bayesian Networks
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
Representing Operational Knowledge by Contextual Graphs
IBERAMIA-SBIA '00 Proceedings of the International Joint Conference, 7th Ibero-American Conference on AI: Advances in Artificial Intelligence
A Methodology for Multiple-Fault Diagnosis Based on the Independent Choice Logic
IBERAMIA-SBIA '00 Proceedings of the International Joint Conference, 7th Ibero-American Conference on AI: Advances in Artificial Intelligence
Synthesizing Graphical Models Employing Explaining Away
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
SBIA '02 Proceedings of the 16th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
Random Generation of Bayesian Networks
SBIA '02 Proceedings of the 16th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
A New Approach to the Identification Problem
SBIA '02 Proceedings of the 16th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
Self-Similar Layered Hidden Markov Models
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
Improving SMS Usability Using Bayesian Networks
SETN '02 Proceedings of the Second Hellenic Conference on AI: Methods and Applications of Artificial Intelligence
Adaptive, Model-Based Monitoring for Cyber Attack Detection
RAID '00 Proceedings of the Third International Workshop on Recent Advances in Intrusion Detection
Probabilistic Alert Correlation
RAID '00 Proceedings of the 4th International Symposium on Recent Advances in Intrusion Detection
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Qualified Answers That Reflect User Needs and Preferences
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Confidence Combination Methods in Multi-expert Systems
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Using Probabilistic Information in Data Integration
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
On Axiomatizing Probabilistic Conditional Independencies in Bayesian Networks
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
The Intelligent Electronic Shopping System Based on Bayesian Customer Modeling
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
Belief Expansion, Contextual Fit, and the Reliability of Information Sources
CONTEXT '01 Proceedings of the Third International and Interdisciplinary Conference on Modeling and Using Context
Intelligent Interfaces for Distributed Web-Based Product and Service Configuration
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
Bayesian Networks for Reliability Analysis of Complex Systems
IBERAMIA '98 Proceedings of the 6th Ibero-American Conference on AI: Progress in Artificial Intelligence
An Architecture for Online Diagnosis of Gas Turbines
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
An Interactive Framework for Open Queries in Decision Support Systems
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
I-PETER: Modelling Personalised Diagnosis and Material Selection for an Online English Course
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Abduction in Logic Programming
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part I
Statistical Abduction with Tabulation
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part II
Argument Interpretation Using Minimum Message Length
AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
AAECC-13 Proceedings of the 13th International Symposium on Applied Algebra, Algebraic Algorithms and Error-Correcting Codes
Maximising Expected Utility for Behaviour Arbitration
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
Pattern Discovery in Probabilistic Databases
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Confidence Relations as a Basis for Uncertainty Modeling, Plausible Reasoning, and Belief Revision
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Logic and Uncertainty in Information Retrieval
ESSIR '00 Proceedings of the Third European Summer-School on Lectures on Information Retrieval-Revised Lectures
Database Schema Matching Using Machine Learning with Feature Selection
CAiSE '02 Proceedings of the 14th International Conference on Advanced Information Systems Engineering
Reasoning about Interactive Systems with Stochastic Models
DSV-IS '01 Proceedings of the 8th International Workshop on Interactive Systems: Design, Specification, and Verification-Revised Papers
Inductive Learning for Case-Based Diagnosis with Multiple Faults
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Analyzing Directed Acyclic Graph Recombination
Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
Parameterized Logic Programs where Computing Meets Learning
FLOPS '01 Proceedings of the 5th International Symposium on Functional and Logic Programming
The Well-Founded Semantics in Normal Logic Programs with Uncertainty
FLOPS '02 Proceedings of the 6th International Symposium on Functional and Logic Programming
Image Document Categorization Using Hidden Tree Markov Models and Structured Representations
ICAPR '01 Proceedings of the Second International Conference on Advances in Pattern Recognition
Mining Dependence Structures from Statistical Learning Perspective
IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
Qualitative Discovery in Medical Databases
ISMIS '00 Proceedings of the 12th International Symposium on Foundations of Intelligent Systems
A Formalism for Building Causal Polytree Structures Using Data Distributions
ISMIS '00 Proceedings of the 12th International Symposium on Foundations of Intelligent Systems
Information Retrieval Based on Statistical Language Models
ISMIS '00 Proceedings of the 12th International Symposium on Foundations of Intelligent Systems
Mining Bayesian Network Structure for Large Sets of Variables
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
ISMDA '00 Proceedings of the First International Symposium on Medical Data Analysis
Graphical Explanation in Bayesian Networks
ISMDA '00 Proceedings of the First International Symposium on Medical Data Analysis
Using Bayesian Networks to Model Emergency Medical Services
ISMDA '01 Proceedings of the Second International Symposium on Medical Data Analysis
Learning Bayesian-Network Topologies in Realistic Medical Domains
ISMDA '01 Proceedings of the Second International Symposium on Medical Data Analysis
ISMDA '01 Proceedings of the Second International Symposium on Medical Data Analysis
Extending Disjunctive Logic Programming by T-norms
LPNMR '99 Proceedings of the 5th International Conference on Logic Programming and Nonmonotonic Reasoning
A New Measure for the Accuracy of a Bayesian Network
MICAI '02 Proceedings of the Second Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Searching for Frequential Reducts in Decision Tables with Uncertain Objects
RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
Equivalent Characterization of a Class of Conditional Probabilistic Independencies
RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
A Study of Conditional Independence Change in Learning Probabilistic Network
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
Application of Discernibility Tables to Calculation of Approximate Frequency Based Reducts
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
Approximate Bayesian Network Classifiers
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Triangulation of Bayesian Networks: A Relational Database Perspective
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
A Method for Detecting Context-Specific Independence in Conditional Probability Tables
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Properties of Weak Conditional Independence
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
The Evolution of Causal Models: A Comparison of Bayesian Metrics and Structure Priors
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Seabreeze Prediction Using Bayesian Networks
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
An Improved Approach for the Discovery of Causal Models via MML
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Network Data Mining and Analysis: The NEMESIS Project
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
A Critique of Inductive Causation
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Probalilistic Logic Programming under Maximum Entropy
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Optimized Algorithm for Learning Bayesian Network from Data
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Argumentation and Qualitative Decision Making
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Updating Directed Belief Networks
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
About Conditional Belief Function Independence
ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
An Empirical Investigation of the K2 Metric
ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
A Two-Steps Algorithm for Min-Based Possibilistic Causal Networks
ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Importance Sampling in Bayesian Networks Using Antithetic Variables
ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
The Search of Causal Orderings: A Short Cut for Learning Belief Networks
ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Computing Intervals of Probabilities with Simulated Annealing and Probability Trees
ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Probabilistic Reasoning as a General Unifying Tool
ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Stochastic Local Algorithms for Learning Belief Networks: Searching in the Space of the Orderings
ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
A Double-Loop Algorithm to Minimize the Bethe Free Energy
EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Integrating Conversational Interaction and Constraint Based Reasoning in an Agent Building Shell
Revised Papers from the International Workshop on Infrastructure for Multi-Agent Systems: Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems
A Methodology for Reliable Systems Design
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
A Dynamic Bayesian Network Approach to Tracking Using Learned Switching Dynamic Models
HSCC '00 Proceedings of the Third International Workshop on Hybrid Systems: Computation and Control
Negotiating Service Provisioning
MAAMAW '99 Proceedings of the 9th European Workshop on Modelling Autonomous Agents in a Multi-Agent World: MultiAgent System Engineering
Using Bayesian Networks with Hidden Nodes to Recognise Neural Cell Morphology
PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Construction of Large-Scale Bayesian Networks by Local to Global Search
PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Bidirectional Dynamics for Protein Secondary Structure Prediction
Sequence Learning - Paradigms, Algorithms, and Applications
Influence of Conditional Independence Assumption on Verb Subcategorization Detection
TSD '01 Proceedings of the 4th International Conference on Text, Speech and Dialogue
Coherence, Explanation, and Bayesian Networks
AICS '02 Proceedings of the 13th Irish International Conference on Artificial Intelligence and Cognitive Science
A New Bayesian Network Structure for Classification Tasks
AICS '02 Proceedings of the 13th Irish International Conference on Artificial Intelligence and Cognitive Science
Structure and Process: Learning of Visual Models and Construction Plans for Complex Objects
Revised Papers from the International Workshop on Sensor Based Intelligent Robots
Comparing Fault Trees and Bayesian Networks for Dependability Analysis
SAFECOMP '99 Proceedings of the 18th International Conference on Computer Computer Safety, Reliability and Security
Efficient EM Learning with Tabulation for Parameterized Logic Programs
CL '00 Proceedings of the First International Conference on Computational Logic
Learning Pseudo-independent Models: Analytical and Experimental Results
AI '00 Proceedings of the 13th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
Learning Bayesian Belief Network Classifiers: Algorithms and System
AI '01 Proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
Constraints for Object Recognition in Aerial Images - Handling of Unobserved Features
CP '98 Proceedings of the 4th International Conference on Principles and Practice of Constraint Programming
Local Score Computation in Learning Belief Networks
AI '01 Proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
Construction of a Non-redundant Cover for Conditional Independencies
AI '02 Proceedings of the 15th Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
A Structural Characterization of DAG-Isomorphic Dependency Models
AI '02 Proceedings of the 15th Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
On the Role of Contextual Weak Independence in Probabilistic Inference
AI '02 Proceedings of the 15th Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
Deborah Ann Stacey, Application of Bayesian Networks to Shopping Assistance
AI '02 Proceedings of the 15th Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
An Empirical Study of Probabilistic Arc Consistency
CP '02 Proceedings of the 6th International Conference on Principles and Practice of Constraint Programming
Logic, Knowledge Representation, and Bayesian Decision Theory
CL '00 Proceedings of the First International Conference on Computational Logic
Recognizing Time Pressure and Cognitive Load on the Basis of Speech: An Experimental Study
UM '01 Proceedings of the 8th International Conference on User Modeling 2001
On the Representation of Probabilities over Structured Domains
CAV '99 Proceedings of the 11th International Conference on Computer Aided Verification
PEDRO: Assessing Presentation Decodability on the Basis of Empirically Validated Models
CMC '98 Revised Papers from the Second International Conference on Cooperative Multimodal Communication
Learning the Causal Structure of Overlapping Variable Sets
DS '02 Proceedings of the 5th International Conference on Discovery Science
MAMBO: Discovering Association Rules Based on Conditional Independencies
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
A General Algorithm for Approximate Inference in Multiply Sectioned Bayesian Networks
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
Relevance Feedback in the Bayesian Network Retrieval Model: An Approach Based on Term Instantiation
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
Statistical Physics of Low Density Parity Check Error Correcting Codes
Proceedings of the 8th IMA International Conference on Cryptography and Coding
Probabilistic Relational Models
ILP '99 Proceedings of the 9th International Workshop on Inductive Logic Programming
Adaptive Bayesian Logic Programs
ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming
Towards Combining Inductive Logic Programming with Bayesian Networks
ILP '01 Proceedings of the 11th International Conference on Inductive Logic Programming
Classification of Time Series Utilizing Temporal and Decision Fusion
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
Student Modeling from Conversational Test Data: A Bayesian Approach Without Priors
ITS '98 Proceedings of the 4th International Conference on Intelligent Tutoring Systems
Using a Probabilistic Student Model to Control Problem Difficulty
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Further Results from the Evaluation of an Intelligent Computer Tutor to Coach Self-Explanation
ITS '00 Proceedings of the 5th International Conference on Intelligent Tutoring Systems
Assessing Effective Exploration in Open Learning Environments Using Bayesian Networks
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Combining Configurational and Statistical Approaches in Image Retrieval
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Improving the Diagnostic Performance of MUNIN by Remodelling of the Diseases
AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine
NasoNet, Joining Bayesian Networks and Time to Model Nasopharyngeal Cancer Spread
AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine
Educational Tool for Diabetic Patients Based on Causal Probabilistic Networks
AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine
Comparison of Rule-Based and Bayesian Network Approaches in Medical Diagnostic Systems
AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine
Multi-agent Scene Interpretation
AI*IA '99 Proceedings of the 6th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
Certainty-Factor-Like Structures in Bayesian Networks
AI*IA '99 Proceedings of the 6th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
Sensitive Analysis for Threshold Decision Making with Bayesian Belief Networks
AI*IA '99 Proceedings of the 6th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
Multi-attribute Utility Theoretic Negotiation for Electronic Commerce
Agent-Mediated Electronic Commerce III, Current Issues in Agent-Based Electronic Commerce Systems (includes revised papers from AMEC 2000 Workshop)
Object Perception: Generative Image Models and Bayesian Inference
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
A Decision Case-Based System, That Reasons in Uncertainty Conditions
CCIA '02 Proceedings of the 5th Catalonian Conference on AI: Topics in Artificial Intelligence
Proceedings of the 24th BCS-IRSG European Colloquium on IR Research: Advances in Information Retrieval
Irrelevance and Independence Axioms in Quasi-Bayesian Theory
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Finding Deformable Shapes Using Loopy Belief Propagation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
NetCube: A Scalable Tool for Fast Data Mining and Compression
Proceedings of the 27th International Conference on Very Large Data Bases
Estimating Problem Value in an Intelligent Tutoring System Using Bayesian Networks
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
Models in Information Retrieval
ESSIR '00 Proceedings of the Third European Summer-School on Lectures on Information Retrieval-Revised Lectures
An Unsupervised Bayesian Distance Measure
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
A Comparative Study of Noncontextual and Contextual Dependencies
ISMIS '00 Proceedings of the 12th International Symposium on Foundations of Intelligent Systems
Logical Deduction Using the Local Computation Framework
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
IEA/AIE '02 Proceedings of the 15th international conference on Industrial and engineering applications of artificial intelligence and expert systems: developments in applied artificial intelligence
KI '02 Proceedings of the 25th Annual German Conference on AI: Advances in Artificial Intelligence
A Graphical Method for Parameter Learning of Symbolic-Statistical Models
DS '99 Proceedings of the Second International Conference on Discovery Science
Data Mining with Graphical Models
DS '02 Proceedings of the 5th International Conference on Discovery Science
Modelling uncertainty in multimedia database systems: an extended possibilistic approach
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
A symbolic approach to syllogistic reasoning
Technologies for constructing intelligent systems
How synthetic characters can help decision making
Decision making support systems
A differential approach to inference in Bayesian networks
Journal of the ACM (JACM)
Possibilistic causality consistency problem based on asymmetrically-valued causal model
Fuzzy Sets and Systems - Possibility theory and fuzzy logic
Hidden Tree Markov Models for Document Image Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Qualitative possibilistic independence based on plausibility relations
Technologies for constructing intelligent systems
Independence concepts for belief functions
Technologies for constructing intelligent systems
The membership problem for probabilistic and data dependencies
Technologies for constructing intelligent systems
Technologies for constructing intelligent systems
Technologies for constructing intelligent systems
Stochastic algorithms for searching causal orderings in Bayesian networks
Technologies for constructing intelligent systems
Implementing relevance feedback in the Bayesian network retrieval model
Journal of the American Society for Information Science and Technology - Mathematical, logical, and formal methods in information retrieval
Adaptive interfaces and agents
The human-computer interaction handbook
A cognitive systems engineering approach to the design of decision support systems
The human-computer interaction handbook
On the potential of domain literature for clustering and Bayesian network learning
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Coverage directed test generation for functional verification using bayesian networks
Proceedings of the 40th annual Design Automation Conference
Generating random solutions for constraint satisfaction problems
Eighteenth national conference on Artificial intelligence
Node and arc consistency in weighted CSP
Eighteenth national conference on Artificial intelligence
Eighteenth national conference on Artificial intelligence
Bayesian networks for speech and image integration
Eighteenth national conference on Artificial intelligence
Multi-agent algorithms for solving graphical games
Eighteenth national conference on Artificial intelligence
A distance measure for bounding probabilistic belief change
Eighteenth national conference on Artificial intelligence
Tree approximation for belief updating
Eighteenth national conference on Artificial intelligence
Accuracy vs. efficiency trade-offs in probabilistic diagnosis
Eighteenth national conference on Artificial intelligence
A general identification condition for causal effects
Eighteenth national conference on Artificial intelligence
A new characterization of the experimental implications of causal Bayesian networks
Eighteenth national conference on Artificial intelligence
A genetic algorithm for tuning variable orderings in Bayesian network structure learning
Eighteenth national conference on Artificial intelligence
Logic prespective on data and knowledge
Handbook of data mining and knowledge discovery
Data mining tasks and methods: Classification: Bayesian classification
Handbook of data mining and knowledge discovery
Data mining tasks and methods: Classification: nearest-neighbor approaches
Handbook of data mining and knowledge discovery
Handbook of data mining and knowledge discovery
Handbook of data mining and knowledge discovery
Signal validation using Bayesian belief networks and fuzzy logic
Fuzzy logic and probability applications
Understanding belief propagation and its generalizations
Exploring artificial intelligence in the new millennium
Data mining for manufacturing control: an application in optimizing IC tests
Exploring artificial intelligence in the new millennium
Combination of paradoxical sources of information within the neutrosophic framework
Proceedings of the first international conference on Neutrosophy, neutrosophic logic, neutrosophic set, neutrosophic probability and statistics
Correlated equilibria in graphical games
Proceedings of the 4th ACM conference on Electronic commerce
Betting boolean-style: a framework for trading in securities based on logical formulas
Proceedings of the 4th ACM conference on Electronic commerce
Fundamenta Informaticae
Granular computing with closeness and negligibility relations
Data mining, rough sets and granular computing
Using Bayesian Networks for Diagnostic Reasoning in Penetrating Injury Assessment
CBMS '00 Proceedings of the 13th IEEE Symposium on Computer-Based Medical Systems (CBMS'00)
FlexiMine – A Flexible Platform for KDD Research and Application Development
Annals of Mathematics and Artificial Intelligence
A software-supported process for assembling evidence and handling uncertainty in decision-making
Decision Support Systems
A Bayesian Framework for Semantic Content Characterization
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
SKIPPER: A Tool that Lets Browsers Adapt to Changes in Document Relevance to Its User
RIDE '96 Proceedings of the 6th International Workshop on Research Issues in Data Engineering (RIDE '96) Interoperability of Nontraditional Database Systems
Switching Activity Estimation of Large Circuits using Multiple Bayesian Networks
ASP-DAC '02 Proceedings of the 2002 Asia and South Pacific Design Automation Conference
Proactive Network Fault Detection
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
Social ReGreT, a reputation model based on social relations
ACM SIGecom Exchanges - Chains of commitment
ITC '97 Proceedings of the 1997 IEEE International Test Conference
Evaluating Integrated Speech- and Image Understanding
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
Non-Strict Cache Coherence: Exploiting Data-Race Tolerance in Emerging Applications
ICPP '00 Proceedings of the Proceedings of the 2000 International Conference on Parallel Processing
On a Deductive Reasoning Model and Method for Uncertainty
ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
Recovery Protocols in Multi-Agent Probabilistic Reasoning Systems
IDEAS '99 Proceedings of the 1999 International Symposium on Database Engineering & Applications
iWeaver: towards 'learning style'-based e-learning in computer science education
ACE '03 Proceedings of the fifth Australasian conference on Computing education - Volume 20
Probabilistic Student Modelling to Improve Exploratory Behaviour
User Modeling and User-Adapted Interaction
A Practical Protocol for Advantage Distillation and Information Reconciliation
Designs, Codes and Cryptography
Evidential Reasoning for Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Stereo Matching Using Belief Propagation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Modeling with Position-Encoding Dynamic Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
Locating moving entities in indoor environments with teams of mobile robots
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
An information-theoretic approach for argument interpretation in a conversational setting
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
International Journal of Human-Computer Studies - Application of affective computing in human—Computer interaction
A knowledge plane for the internet
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
Neural representation of probabilistic information
Neural Computation
Expressing default abduction problems as quantified Boolean formulas
AI Communications
Equivalence notions and model minimization in Markov decision processes
Artificial Intelligence - special issue on planning with uncertainty and incomplete information
Fuzzy functional dependencies and Bayesian networks
Journal of Computer Science and Technology
Bayesian data mining and knowledge discovery
Data mining
Intelligent data analysis
The Test Requirements Model (TeRM) Communicating Test Information Throughout the Product Life Cycle
ITC '99 Proceedings of the 1999 IEEE International Test Conference
New Directions in Measurement for Software Quality Control
STEP '02 Proceedings of the 10th International Workshop on Software Technology and Engineering Practice
Abductive reasoning with recurrent neural networks
Neural Networks - 2003 Special issue: Advances in neural networks research — IJCNN'03
Moral Dominance Relations for Program Comprehension
IEEE Transactions on Software Engineering
Learning with mixtures of trees
The Journal of Machine Learning Research
Dependency networks for inference, collaborative filtering, and data visualization
The Journal of Machine Learning Research
Learning equivalence classes of bayesian-network structures
The Journal of Machine Learning Research
Annals of Mathematics and Artificial Intelligence
Optimal structure identification with greedy search
The Journal of Machine Learning Research
Learning probabilistic models of link structure
The Journal of Machine Learning Research
The representational power of discrete bayesian networks
The Journal of Machine Learning Research
Revising regulatory networks: from expression data to linear causal models
Journal of Biomedical Informatics
Floating search algorithm for structure learning of Bayesian network classifiers
Pattern Recognition Letters
On inclusion-driven learning of bayesian networks
The Journal of Machine Learning Research
Combining knowledge from different sources in causal probabilistic models
The Journal of Machine Learning Research
Fusion of domain knowledge with data for structural learning in object oriented domains
The Journal of Machine Learning Research
Building large knowledge bases by mass collaboration
Proceedings of the 2nd international conference on Knowledge capture
Operations and evaluation measures for learning possibilistic graphical models
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
A Thorough Axiomatization of a Principle of Conditional Preservation in Belief Revision
Annals of Mathematics and Artificial Intelligence
Bayesian approach to sensor-based context awareness
Personal and Ubiquitous Computing
Beyond Independence: Probabilistic Models for Query Approximation on Binary Transaction Data
IEEE Transactions on Knowledge and Data Engineering
Structure Search and Stability Enhancement of Bayesian Networks
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Learning Bayesian Networks from Incomplete Data Based on EMI Method
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Identifying Markov Blankets with Decision Tree Induction
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Journal of Multivariate Analysis
A Comparison of Bayesian and Belief Function Reasoning
Information Systems Frontiers
Predicting Corporate Acquisitions: An Application of Uncertain Reasoning Using Rule Induction
Information Systems Frontiers
Critical event prediction for proactive management in large-scale computer clusters
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Time and sample efficient discovery of Markov blankets and direct causal relations
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Combining link-based and content-based methods for web document classification
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Information Sciences: an International Journal - Special issue: Evolutionary computation
Switching activity estimation of VLSI circuits using Bayesian networks
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Combining speech and haptics for intuitive and efficient navigation through image databases
Proceedings of the 5th international conference on Multimodal interfaces
ACM SIGKDD Explorations Newsletter
Addressing the Problems of Bayesian Network Classification of Video Using High-Dimensional Features
IEEE Transactions on Knowledge and Data Engineering
Choosing when to interact with learners
Proceedings of the 9th international conference on Intelligent user interfaces
Conditional independence structures and graphical models
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - Intelligent information systems
Reasoning with BKBs – Algorithms and Complexity
Annals of Mathematics and Artificial Intelligence
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
A Bayesian computational model of social capital in virtual communities
Communities and technologies
Machine learning for simulation-based support of early collaborative design
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Bayesian networks for knowledge discovery in large datasets: basics for nurse researchers
Journal of Biomedical Informatics - Special issue: Building nursing knowledge through infomatics: from concept representation to data mining
AutoBayes: a system for generating data analysis programs from statistical models
Journal of Functional Programming
Naive Bayes vs decision trees in intrusion detection systems
Proceedings of the 2004 ACM symposium on Applied computing
Improve Multi-Instance Neural Networks through Feature Selection
Neural Processing Letters
Conditional Independences among Four Random Variables III: Final Conclusion
Combinatorics, Probability and Computing
Dialogue act modeling for automatic tagging and recognition of conversational speech
Computational Linguistics
Semi-supervised learning for facial expression recognition
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Decomposable modeling in natural language processing
Computational Linguistics
When plans distinguish Bayes nets
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Incremental development of diagnostic set-covering models with therapy effects
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Nonmonotonic reasoning by inhibition nets II
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Exploiting sophisticated representations for document retrieval
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
A discriminative model for identifying spatial cis-regulatory modules
RECOMB '04 Proceedings of the eighth annual international conference on Resaerch in computational molecular biology
Probabilistic discovery of overlapping cellular processes and their regulation
RECOMB '04 Proceedings of the eighth annual international conference on Resaerch in computational molecular biology
A review of explanation methods for Bayesian networks
The Knowledge Engineering Review
The Knowledge Engineering Review
Probability elicitation for belief networks: issues to consider
The Knowledge Engineering Review
The Knowledge Engineering Review
Sensitivity analysis: an aid for belief-network quantification
The Knowledge Engineering Review
Building large-scale Bayesian networks
The Knowledge Engineering Review
The Knowledge Engineering Review
Game theoretic and decision theoretic agents
The Knowledge Engineering Review
Learning probabilistic networks
The Knowledge Engineering Review
Directions in uncertainty reasoning
The Knowledge Engineering Review
Symbolic diagnosis and its formalisation
The Knowledge Engineering Review
Belief revision: from theory to practice
The Knowledge Engineering Review
Tree consistency and bounds on the performance of the max-product algorithm and its generalizations
Statistics and Computing
Collocation map for overcoming data sparseness
EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics
A Case Study of Applying Boosting Naive Bayes to Claim Fraud Diagnosis
IEEE Transactions on Knowledge and Data Engineering
Word-sense disambiguation using decomposable models
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Recognition of two-person interactions using a hierarchical Bayesian network
IWVS '03 First ACM SIGMM international workshop on Video surveillance
Nonparametric belief propagation for self-calibration in sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
A probabilistic approach to inference with limited information in sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Robust distributed estimation in sensor networks using the embedded polygons algorithm
Proceedings of the 3rd international symposium on Information processing in sensor networks
Complexity results for explanations in the structural-model approach
Artificial Intelligence
Hierarchy, priors and wavelets: structure and signal modelling using ICA
Signal Processing - Special issue on independent components analysis and beyond
A community-aware search engine
Proceedings of the 13th international conference on World Wide Web
A Prototypical System for Soft Evidential Update
Applied Intelligence
Word sense disambiguation of adjectives using probabilistic networks
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Explaining away ambiguity: learning verb selectional preference with Bayesian networks
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Reasoning and learning in extended structured Bayesian networks
Fundamenta Informaticae
Probabilistic decision graphs-combining verification and AI techniques for probabilistic inference
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - New trends in probabilistic graphical models
A Bayesian approach for user modeling in dialogue systems
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Learning dependencies between case frame slots
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
A framework for linguistic modelling
Artificial Intelligence
The effectiveness of automatically structured queries in digital libraries
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 2
A hybrid approach for learning parameters of probabilistic networks from incomplete databases
Design and application of hybrid intelligent systems
A symbolic method for structure verification in multiply sectioned Bayesian networks
Design and application of hybrid intelligent systems
Verb class disambiguation using informative priors
Computational Linguistics
"AU: Timing Analysis Under Uncertainty
Proceedings of the 2003 IEEE/ACM international conference on Computer-aided design
Learning Bayesian network classifiers by maximizing conditional likelihood
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Learning to cluster using local neighborhood structure
ICML '04 Proceedings of the twenty-first international conference on Machine learning
The Journal of Machine Learning Research
Combining probabilistic logic programming with the power of maximum entropy
Artificial Intelligence - Special issue on nonmonotonic reasoning
Reasoning about Rationality and Beliefs
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Dynamic Algorithm for Inferring Qualitative Models of Gene Regulatory Networks
CSB '04 Proceedings of the 2004 IEEE Computational Systems Bioinformatics Conference
An Algorithm for Reconstruction of Markov Blankets in Bayesian Networks of Gene Expression Datasets
CSB '04 Proceedings of the 2004 IEEE Computational Systems Bioinformatics Conference
Stochastic reasoning, free energy, and information geometry
Neural Computation
An agent oriented approach for diagnosis and supervision of industrial processes
Focus on computational neurobiology
Statistical characterisation of MP3 encoders for steganalysis
Proceedings of the 2004 workshop on Multimedia and security
Pictorial Structures for Object Recognition
International Journal of Computer Vision
Web-Based Knowledge Acquisition to Impute Missing Values for Classification
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
A Web-Based Intelligent Tutoring System for Computer Programming
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
System Z: a natural ordering of defaults with tractable applications to nonmonotonic reasoning
TARK '90 Proceedings of the 3rd conference on Theoretical aspects of reasoning about knowledge
Qualitative decision making in adaptive presentation of structured information
ACM Transactions on Information Systems (TOIS)
Infinitely many resolutions of Hempel's paradox
TARK '94 Proceedings of the 5th conference on Theoretical aspects of reasoning about knowledge
Belief revision in a changing world
TARK '94 Proceedings of the 5th conference on Theoretical aspects of reasoning about knowledge
Structured models for multi-agent interactions
TARK '01 Proceedings of the 8th conference on Theoretical aspects of rationality and knowledge
Artificial Intelligence
Causation, action, and counterfactuals
TARK '96 Proceedings of the 6th conference on Theoretical aspects of rationality and knowledge
TARK '96 Proceedings of the 6th conference on Theoretical aspects of rationality and knowledge
Multimodal Video Indexing: A Review of the State-of-the-art
Multimedia Tools and Applications
BT Technology Journal
Teaching Machines about Everyday Life
BT Technology Journal
Probabilistic fault localization in communication systems using belief networks
IEEE/ACM Transactions on Networking (TON)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimators for stochastic "Unification-Based" grammars
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Inspectable Bayesian student modelling servers in multi-agent tutoring systems
International Journal of Human-Computer Studies
Constrained abductive reasoning with fuzzy parameters in Bayesian networks
Computers and Operations Research
Sensitivity analysis in Bayesian networks: from single to multiple parameters
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
A new characterization of probabilities in Bayesian networks
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Solving weighted CSP by maintaining arc consistency
Artificial Intelligence
Updating beliefs with incomplete observations
Artificial Intelligence
On the uniqueness of loopy belief propagation fixed points
Neural Computation
Bayesian networks and information retrieval: an introduction to the special issue
Information Processing and Management: an International Journal - Special issue: Bayesian networks and information retrieval
Combining the language model and inference network approaches to retrieval
Information Processing and Management: an International Journal - Special issue: Bayesian networks and information retrieval
Combining evidence for Web retrieval using the inference network model: an experimental study
Information Processing and Management: an International Journal - Special issue: Bayesian networks and information retrieval
A Bayesian network approach to searching Web databases through keyword-based queries
Information Processing and Management: an International Journal - Special issue: Bayesian networks and information retrieval
Using context information in structured document retrieval: an approach based on influence diagrams
Information Processing and Management: an International Journal - Special issue: Bayesian networks and information retrieval
Incorporating Object Tracking Feedback into Background Maintenance Framework
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Model Averaging for Prediction with Discrete Bayesian Networks
The Journal of Machine Learning Research
Large-Sample Learning of Bayesian Networks is NP-Hard
The Journal of Machine Learning Research
A causal mapping approach to constructing Bayesian networks
Decision Support Systems
Data mining of Bayesian networks using cooperative coevolution
Decision Support Systems
Hue geometry and horizontal connections
Neural Networks - 2004 Special issue Vision and brain
Integration of form and motion within a generative model of visual cortex
Neural Networks - 2004 Special issue Vision and brain
Asymptotic Model Selection for Naive Bayesian Networks
The Journal of Machine Learning Research
Learning Hidden Variable Networks: The Information Bottleneck Approach
The Journal of Machine Learning Research
Linguistic Bayesian Networks for reasoning with subjective probabilities in forensic statistics
ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
Building Bayesian Network Models in Medicine: The MENTOR Experience
Applied Intelligence
A multi-agent infrastructure for developing personalized web-based systems
ACM Transactions on Internet Technology (TOIT)
Classification of flourescence in situ hybridization images using belief networks
Pattern Recognition Letters
Active and Dynamic Information Fusion for Facial Expression Understanding from Image Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Causal probabilistic input dependency learning for switching model in VLSI circuits
GLSVLSI '05 Proceedings of the 15th ACM Great Lakes symposium on VLSI
Review on Computational Trust and Reputation Models
Artificial Intelligence Review
A review of explanation methods for heuristic expert systems
The Knowledge Engineering Review
On the revision of probabilistic beliefs using uncertain evidence
Artificial Intelligence
Betting Boolean-style: a framework for trading in securities based on logical formulas
Decision Support Systems - Special issue: The fourth ACM conference on electronic commerce
A formal approach to using data distributions for building causal polytree structures
Information Sciences—Informatics and Computer Science: An International Journal
Information Sciences—Informatics and Computer Science: An International Journal
Temporal analysis of infectious diseases: influenza
Proceedings of the 2005 ACM symposium on Applied computing
Machine Learning
A Probabilistic Approach for Argument Interpretation
User Modeling and User-Adapted Interaction
Extracted global structure makes local building block processing effective in XCS
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Scenario-Based Assessment of Nonfunctional Requirements
IEEE Transactions on Software Engineering
IEEE Transactions on Knowledge and Data Engineering
Multimedia Tools and Applications
Towards a noise-tolerant, representation-independent mechanism for argument interpretation
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Probabilistic reasoning for entity & relation recognition
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Joint and conditional estimation of tagging and parsing models
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Dynamic programming for parsing and estimation of stochastic unification-based grammars
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Journal of Biomedical Informatics
Data cleaning using belief propagation
Proceedings of the 2nd international workshop on Information quality in information systems
Temporal Relevance in Dynamic Decision Networks with Sparse Evidence
Applied Intelligence
A Comparison of Algorithms for Inference and Learning in Probabilistic Graphical Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shrink: a tool for failure diagnosis in IP networks
Proceedings of the 2005 ACM SIGCOMM workshop on Mining network data
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
A probabilistic approach to resource allocation in distributed fusion systems
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
A cooperative multi-agent approach to free flight
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
A Probabilistic Model for Predicting Software Development Effort
IEEE Transactions on Software Engineering
CSB '05 Proceedings of the 2005 IEEE Computational Systems Bioinformatics Conference
Very large Bayesian multinets for text classification
Future Generation Computer Systems
Intelligent Services for the Elderly Over the TV
Journal of Intelligent Information Systems
Noisy information value in utility-based decision making
UBDM '05 Proceedings of the 1st international workshop on Utility-based data mining
Unifying tree decompositions for reasoning in graphical models
Artificial Intelligence
Dynamic Trees for Unsupervised Segmentation and Matching of Image Regions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Genetic Algorithm Based Data Mining Using Feature Selection with Hausdorff Distance
Information Technology and Management
Sensor networks for landslide detection
Proceedings of the 3rd international conference on Embedded networked sensor systems
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Computational aspects of Bayesian partition models
ICML '05 Proceedings of the 22nd international conference on Machine learning
Naive Bayes models for probability estimation
ICML '05 Proceedings of the 22nd international conference on Machine learning
Discriminative versus generative parameter and structure learning of Bayesian network classifiers
ICML '05 Proceedings of the 22nd international conference on Machine learning
Supervised versus multiple instance learning: an empirical comparison
ICML '05 Proceedings of the 22nd international conference on Machine learning
An interactive system for negotiation in e-commerce with incremental user knowledge
CASCON '05 Proceedings of the 2005 conference of the Centre for Advanced Studies on Collaborative research
Speculative Markov Blanket Discovery for Optimal Feature Selection
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Transliteration of Online Handwritten Phonetic Pitman's Shorthand with the Use of a Bayesian Network
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
A Framework for Management of Semistructured Probabilistic Data
Journal of Intelligent Information Systems
Linkage Problem, Distribution Estimation, and Bayesian Networks
Evolutionary Computation
Space Complexity of Estimation of Distribution Algorithms
Evolutionary Computation
Team formation in agent-based computer games
Proceedings of the second Australasian conference on Interactive entertainment
A Probabilistic Relational Student Model for Virtual Laboratories
ENC '05 Proceedings of the Sixth Mexican International Conference on Computer Science
A Parsimonious Constraint-based Algorithm to Induce Bayesian Network Structures from Data
ENC '05 Proceedings of the Sixth Mexican International Conference on Computer Science
PRL: A probabilistic relational language
Machine Learning
Machine Learning
Proposition of the quality measure for the probabilistic decision support system
IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
Enhancing the control and efficiency of the covering process [logic verification]
HLDVT '03 Proceedings of the Eighth IEEE International Workshop on High-Level Design Validation and Test Workshop
Graphoid properties of epistemic irrelevance and independence
Annals of Mathematics and Artificial Intelligence
Annals of Mathematics and Artificial Intelligence
Editorial: Imprecise probability perspectives on artificial intelligence
Annals of Mathematics and Artificial Intelligence
Epistemic irrelevance on sets of desirable gambles
Annals of Mathematics and Artificial Intelligence
Categorization-driven cross-language retrieval of medical information
Journal of the American Society for Information Science and Technology
An interactive spreadsheet for teaching the forward-backward algorithm
ETMTNLP '02 Proceedings of the ACL-02 Workshop on Effective tools and methodologies for teaching natural language processing and computational linguistics - Volume 1
Towards the generation of rebuttals in a Bayesian Argumentation System
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Conditional structure versus conditional estimation in NLP models
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Lexical paraphrasing for document retrieval and node identification
PARAPHRASE '03 Proceedings of the second international workshop on Paraphrasing - Volume 16
Entailment, intensionality and text understanding
HLT-NAACL-TEXTMEANING '03 Proceedings of the HLT-NAACL 2003 workshop on Text meaning - Volume 9
Question Answering via Bayesian inference on lexical relations
MultiSumQA '03 Proceedings of the ACL 2003 workshop on Multilingual summarization and question answering - Volume 12
A Tighter Bound for Graphical Models
Neural Computation
Inference of structures of models of probabilistic dependences from statistical data
Cybernetics and Systems Analysis
Attractor Dynamics in Feedforward Neural Networks
Neural Computation
A dynamic interaction between machine learning and the philosophy of science
Minds and Machines - Machine learning as experimental philosophy of science
Correctness of Local Probability Propagation in Graphical Models with Loops
Neural Computation
Discriminative Reranking for Natural Language Parsing
Computational Linguistics
Proceedings of the 4th international symposium on Non-photorealistic animation and rendering
Prediction Of Weather-Related Failures Of Overhead Distribution Feeders
Probability in the Engineering and Informational Sciences
Slip surface localization in wireless sensor networks for landslide prediction
Proceedings of the 5th international conference on Information processing in sensor networks
On the interdependence of sensing and estimation complexity in sensor networks
Proceedings of the 5th international conference on Information processing in sensor networks
Self-Stabilizing Microprocessor: Analyzing and Overcoming Soft Errors
IEEE Transactions on Computers
Intelligent variable orderings and re-orderings in DAC-based solvers for WCSP
Journal of Heuristics
Classification using Hierarchical Naïve Bayes models
Machine Learning
Being proactive -- analytics for predicting customer actions
BT Technology Journal
Edge-Cut Bounds on Network Coding Rates
Journal of Network and Systems Management
Computing pure nash equilibria in graphical games via markov random fields
EC '06 Proceedings of the 7th ACM conference on Electronic commerce
Journal of Biomedical Informatics - Special issue: Clinical machine learning
Causes and explanations in the structural-model approach: tractable cases
Artificial Intelligence
Decomposition of structural learning about directed acyclic graphs
Artificial Intelligence
Ranking functions and rankings on languages
Artificial Intelligence
An adjustment model in a geometric constraint solving problem
Proceedings of the 2006 ACM symposium on Applied computing
Learning metadata from the evidence in an on-line citation matching scheme
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Tagging of name records for genealogical data browsing
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Injecting utility into anonymized datasets
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Proceedings of the 41st annual Design Automation Conference
Fast particle smoothing: if I had a million particles
ICML '06 Proceedings of the 23rd international conference on Machine learning
Using query-specific variance estimates to combine Bayesian classifiers
ICML '06 Proceedings of the 23rd international conference on Machine learning
Quadratic programming relaxations for metric labeling and Markov random field MAP estimation
ICML '06 Proceedings of the 23rd international conference on Machine learning
Full Bayesian network classifiers
ICML '06 Proceedings of the 23rd international conference on Machine learning
Sporadic model building for efficiency enhancement of hierarchical BOA
Proceedings of the 8th annual conference on Genetic and evolutionary computation
On the incompatibility of faithfulness and monotone DAG faithfulness
Artificial Intelligence
A new efficient probabilistic model for mining labeled ordered trees
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Artificial Intelligence and Law
Privacy intrusion detection using dynamic Bayesian networks
ICEC '06 Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet
Scalable Parallel Implementation of Exact Inference in Bayesian Networks
ICPADS '06 Proceedings of the 12th International Conference on Parallel and Distributed Systems - Volume 1
Convergent Tree-Reweighted Message Passing for Energy Minimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multivariate information bottleneck
Neural Computation
Agent interface enhancement: making multiagent graphical models accessible
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
U-director: a decision-theoretic narrative planning architecture for storytelling environments
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Supporting the construction of explanation models and diagnostic reasoning in probabilistic domains
ICLS '96 Proceedings of the 1996 international conference on Learning sciences
Toward a decision-theoretic framework for affect recognition and user assistance
International Journal of Human-Computer Studies - Human-computer interaction research in the managemant information systems discipline
Probabilistic abductive computation of evidence collection strategies in crime investigation
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
XSKETCH synopses for XML data graphs
ACM Transactions on Database Systems (TODS)
A relationship between a graphical model and its marginal models
MIC'06 Proceedings of the 25th IASTED international conference on Modeling, indentification, and control
Bayesian network based human pose estimation
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
Probabilistic anomaly detection in distributed computer networks
Science of Computer Programming
A cognitive substrate for achieving human-level intelligence
AI Magazine - Special issue on achieving human-level AI through integrated systems and research
Harnessing Machine Learning to Improve the Success Rate of Stimuli Generation
IEEE Transactions on Computers
Reasoning about obfuscated private information: who have lied and how to lie
Proceedings of the 5th ACM workshop on Privacy in electronic society
Automated global structure extraction for effective local building block processing in XCS
Evolutionary Computation
Hybrid intelligent systems for network security
Proceedings of the 44th annual Southeast regional conference
Incompletely specified probabilistic networks
Journal of Management Information Systems - Special section: Information technology and its organizational impact
Iterative Compilation of Multiagent Probabilistic Graphical Models
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Iterative Multiagent Probabilistic Inference
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Observant and Proactive Communication in Multi-agent Teamwork
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Local Propagation in Conditional Gaussian Bayesian Networks
The Journal of Machine Learning Research
Change Point Problems in Linear Dynamical Systems
The Journal of Machine Learning Research
Learning spatial relations in object recognition
Pattern Recognition Letters
Bayesian network modelling through qualitative patterns
Artificial Intelligence
Stochastic ordering and robustness in classification from a Bayesian network
Decision Support Systems
Expressing default abduction problems as quantified Boolean formulas
AI Communications
Collective information extraction with relational Markov networks
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
An effective two-stage model for exploiting non-local dependencies in named entity recognition
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Selecting features in microarray classification using ROC curves
Pattern Recognition
Diagnosis using a first-order stochastic language that learns
Expert Systems with Applications: An International Journal
Use of Elvira's explanation facility for debugging probabilistic expert systems
Knowledge-Based Systems
Predicting football results using Bayesian nets and other machine learning techniques
Knowledge-Based Systems
The effect of threshold values on association rule based classification accuracy
Data & Knowledge Engineering
Fast algorithms for robust classification with Bayesian nets
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
Computing lower and upper expectations under epistemic independence
International Journal of Approximate Reasoning
Hill-climbing and branch-and-bound algorithms for exact and approximate inference in credal networks
International Journal of Approximate Reasoning
Sequential inference with reliable observations: learning to construct force-dynamic models
Artificial Intelligence
AND/OR search spaces for graphical models
Artificial Intelligence
On the use of Bayesian Networks to develop behaviours for mobile robots
Robotics and Autonomous Systems
Transmission of correlated senders over a Rayleigh fading multiple access channel
Signal Processing - Special section: Distributed source coding
Signal extraction and knowledge discovery based on statistical modeling
Theoretical Computer Science - Algorithmic learning theory
Towards High-resolution Imaging from Underwater Vehicles
International Journal of Robotics Research
Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields
International Journal of Robotics Research
A Property of Independency Relations Induced by Probabilistic Distributions with Binary Variables
Fundamenta Informaticae - SPECIAL ISSUE ON TRAJECTORIES OF LANGUAGE THEORY Dedicated to the memory of Alexandru Mateescu
Mobile robot localization using active sensing based on Bayesian network inference
Robotics and Autonomous Systems
Towards 3-D scene reconstruction from broadcast video
Image Communication
International Journal of Hybrid Intelligent Systems
First-Order Logical Neural Networks
International Journal of Hybrid Intelligent Systems - Recent developments in Hybrid Intelligent Systems
Apriori algorithm and game-of-life for predictive analysis in materials science
International Journal of Knowledge-based and Intelligent Engineering Systems - Soft Computing and its Applications to E-Business
Dynamic quantization for belief propagation in sparse spaces
Computer Vision and Image Understanding
Interpretation of complex scenes using dynamic tree-structure Bayesian networks
Computer Vision and Image Understanding
Bayesian Networks and participatory modelling in water resource management
Environmental Modelling & Software
Coupling real-time control and socio-economic issues in participatory river basin planning
Environmental Modelling & Software
Environmental Modelling & Software
Parameterisation and evaluation of a Bayesian network for use in an ecological risk assessment
Environmental Modelling & Software
Artificial Intelligence and Law
A New Singly Connected Network Classifier based on Mutual Information
Intelligent Data Analysis
Knowledge representation and reasoning based on entity and relation propagation diagram/tree
Intelligent Data Analysis
A computational framework for package planning
International Journal of Knowledge-based and Intelligent Engineering Systems
A web-based bayesian intelligent tutoring system for computer programming
Web Intelligence and Agent Systems
Predicting carcinoid heart disease with the noisy-threshold classifier
Artificial Intelligence in Medicine
Bayesian network based sentence retrieval model
Proceedings of the 16th international conference on World Wide Web
A hierarchical mixture model for clustering three-way data sets
Computational Statistics & Data Analysis
Intelligent stock trading system by turning point confirming and probabilistic reasoning
Expert Systems with Applications: An International Journal
Graphical Models for Groups: Belief Aggregation and Risk Sharing
Decision Analysis
Evaluating Bayesian networks' precision for detecting students' learning styles
Computers & Education
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
The Journal of Machine Learning Research
Linear Programming Relaxations and Belief Propagation -- An Empirical Study
The Journal of Machine Learning Research
The Journal of Machine Learning Research
A Robust Procedure For Gaussian Graphical Model Search From Microarray Data With p Larger Than n
The Journal of Machine Learning Research
Distances between Data Sets Based on Summary Statistics
The Journal of Machine Learning Research
Building Blocks for Variational Bayesian Learning of Latent Variable Models
The Journal of Machine Learning Research
Consistent Feature Selection for Pattern Recognition in Polynomial Time
The Journal of Machine Learning Research
Classification in Networked Data: A Toolkit and a Univariate Case Study
The Journal of Machine Learning Research
Loop Corrections for Approximate Inference on Factor Graphs
The Journal of Machine Learning Research
A Hybrid Model of Image Retrieval Based on Ontology Technology and Probabilistic Ranking
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
A new look at survey propagation and its generalizations
Journal of the ACM (JACM)
Multidomain Diagnosis of End-to-End Service Failures in Hierarchically Routed Networks
IEEE Transactions on Parallel and Distributed Systems
Bayesian Networks for Knowledge-Based Authentication
IEEE Transactions on Knowledge and Data Engineering
A Bayesian Approach to Deformed Pattern Matching of Iris Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Lattice-Based MRF Model for Dynamic Near-Regular Texture Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching by Linear Programming and Successive Convexification
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Linear Programming Approach to Max-Sum Problem: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Minimizing Nonsubmodular Functions with Graph Cuts-A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Software Engineering
QCA Circuits for Robust Coplanar Crossing
Journal of Electronic Testing: Theory and Applications
Management of probabilistic data: foundations and challenges
Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Mining Pareto-optimal rules with respect to support and confirmation or support and anti-support
Engineering Applications of Artificial Intelligence
Towards scalable and data efficient learning of Markov boundaries
International Journal of Approximate Reasoning
Bayesian network learning algorithms using structural restrictions
International Journal of Approximate Reasoning
Racing algorithms for conditional independence inference
International Journal of Approximate Reasoning
Information fusion for wireless sensor networks: Methods, models, and classifications
ACM Computing Surveys (CSUR)
Strategies for improving the modeling and interpretability of Bayesian networks
Data & Knowledge Engineering
Approximate Labeling via Graph Cuts Based on Linear Programming
IEEE Transactions on Pattern Analysis and Machine Intelligence
A decision network framework for the behavioral animation of virtual humans
SCA '07 Proceedings of the 2007 ACM SIGGRAPH/Eurographics symposium on Computer animation
Statistical predicate invention
Proceedings of the 24th international conference on Machine learning
Hierarchical Gaussian process latent variable models
Proceedings of the 24th international conference on Machine learning
Bottom-up learning of Markov logic network structure
Proceedings of the 24th international conference on Machine learning
What is decreased by the max-sum arc consistency algorithm?
Proceedings of the 24th international conference on Machine learning
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
A parallel framework for loopy belief propagation
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Learning causal networks from microarray data
WISB '06 Proceedings of the 2006 workshop on Intelligent systems for bioinformatics - Volume 73
A linear-time algorithm for computing the multinomial stochastic complexity
Information Processing Letters
Mining data from intensive care patients
Advanced Engineering Informatics
Information Processing and Management: an International Journal
Towards qualitative approaches to Bayesian evidential reasoning
Proceedings of the 11th international conference on Artificial intelligence and law
A knowledge representation model for the nuclear power generation domain
Data & Knowledge Engineering
Towards efficient variables ordering for Bayesian networks classifier
Data & Knowledge Engineering
Analyzing probabilistic models in hierarchical BOA on traps and spin glasses
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Order or not: does parallelization of model building in hBOA affect its scalability?
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Effects of highly agreed documents in relevancy prediction
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Blind separation of nonlinear mixtures by variational Bayesian learning
Digital Signal Processing
Finding low-entropy sets and trees from binary data
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Multi-domain sketch understanding
ACM SIGGRAPH 2007 courses
Towards highly reliable enterprise network services via inference of multi-level dependencies
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
Dynamic Bayesian networks for audio-visual speech recognition
EURASIP Journal on Applied Signal Processing
Counting good truth assignments of random k-SAT formulae
SODA '07 Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
Error control coding in low-power wireless sensor networks: when is ECC energy-efficient?
EURASIP Journal on Wireless Communications and Networking
Intelligent broadcasting inmobile ad hoc networks: three classes of adaptive protocols
EURASIP Journal on Wireless Communications and Networking
An application of formal argumentation: Fusing Bayesian networks in multi-agent systems
Artificial Intelligence
Training Classifiers for Tree-structured Categories with Partially Labeled Data
Journal of VLSI Signal Processing Systems
Efficient query evaluation on probabilistic databases
The VLDB Journal — The International Journal on Very Large Data Bases
Iterative decoding of concatenated codes: a tutorial
EURASIP Journal on Applied Signal Processing
LDGM codes for channel coding and joint source-channel coding of correlated sources
EURASIP Journal on Applied Signal Processing
Spatio-temporal graphical-model-based multiple facial feature tracking
EURASIP Journal on Applied Signal Processing
Vision systems with the human in the loop
EURASIP Journal on Applied Signal Processing
Structure and value synopses for XML data graphs
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Learning and modeling biosignatures from tissue images
Computers in Biology and Medicine
Adaptive Markov random fields for example-based super-resolution of faces
EURASIP Journal on Applied Signal Processing
Learning-based nonparametric image super-resolution
EURASIP Journal on Applied Signal Processing
Calibrating distributed camera networks using belief propagation
EURASIP Journal on Applied Signal Processing
Operational Knowledge Representation for Practical Decision-Making
Journal of Management Information Systems
Fuzzy expert system for solving lost circulation problem
Applied Soft Computing
Bayesian methods for multimedia signal processing
Proceedings of the 15th international conference on Multimedia
Does non-correlation imply non-causation?
International Journal of Approximate Reasoning
Inference in multi-agent causal models
International Journal of Approximate Reasoning
Convergence in Markovian models with implications for efficiency of inference
International Journal of Approximate Reasoning
Maximal prime subgraph decomposition of Bayesian networks: A relational database perspective
International Journal of Approximate Reasoning
Complexity measurement of fundamental pseudo-independent models
International Journal of Approximate Reasoning
Pfanzagl exchanges diagnose an anomaly in expected utility decision theory
International Journal of Approximate Reasoning
A Bayesian network approach to explaining time series with changing structure
Intelligent Data Analysis
Missing values prediction with K2
Intelligent Data Analysis
Rule mining with prior knowledge -- a belief networks approach
Intelligent Data Analysis
Supervised model-based visualization of high-dimensional data
Intelligent Data Analysis
A nearest neighborhood algebra for probabilistic databases
Intelligent Data Analysis
Determining appropriate membership functions to simplify fuzzy induction
Intelligent Data Analysis
Likelihood based classification in Bayesian networks
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
Discriminative learning of Bayesian network classifiers
AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications
Tailored-to-Fit Bayesian Network Modeling of Expert Diagnostic Knowledge
Journal of VLSI Signal Processing Systems
Learning and approximate inference in dynamic hierarchical models
Computational Statistics & Data Analysis
Learning Bayesian classifiers from positive and unlabeled examples
Pattern Recognition Letters
A multiview approach for intelligent data analysis based on data operators
Information Sciences: an International Journal
Decision Analysis
Influence Diagrams for Team Decision Analysis
Decision Analysis
Influence DiagramsHistorical and Personal Perspectives
Decision Analysis
Modeling Causal Reinforcement and Undermining for Efficient CPT Elicitation
IEEE Transactions on Knowledge and Data Engineering
Combining object and feature dynamics in probabilistic tracking
Computer Vision and Image Understanding
On scene interpretation with description logics
Image and Vision Computing
Conditional independence and chain event graphs
Artificial Intelligence
FleDEx: flexible data exchange
Proceedings of the 9th annual ACM international workshop on Web information and data management
Information-theoretic inference of large transcriptional regulatory networks
EURASIP Journal on Bioinformatics and Systems Biology
Management of data with uncertainties
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Structure-based inference of xml similarity for fuzzy duplicate detection
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
On representation and aggregation of social evaluations in computational trust and reputation models
International Journal of Approximate Reasoning
Journal of Biomedical Informatics
On automatic knowledge validation for Bayesian knowledge bases
Data & Knowledge Engineering
ACST'07 Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology
Using genetic feature selection for improving cyber attack detection rate
ACST'07 Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology
Software maintenance project delays prediction using Bayesian Networks
Expert Systems with Applications: An International Journal
A model for parameter setting based on Bayesian networks
Engineering Applications of Artificial Intelligence
An approach to hybrid probabilistic models
International Journal of Approximate Reasoning
Bayesian networks for imputation in classification problems
Journal of Intelligent Information Systems
Data integration with uncertainty
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
An evolutionary computing approach to probabilistic reasoning on bayesian networks
Evolutionary Computation
MEBN: A language for first-order Bayesian knowledge bases
Artificial Intelligence
Determining confidence when integrating contributions from multiple agents
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Confidence-based policy learning from demonstration using Gaussian mixture models
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
CompSysTech '07 Proceedings of the 2007 international conference on Computer systems and technologies
Computer Methods and Programs in Biomedicine
Exploiting missing clinical data in Bayesian network modeling for predicting medical problems
Journal of Biomedical Informatics
Belief updating in Bayesian networks by using a criterion of minimum time
Pattern Recognition Letters
Learning Layered Motion Segmentations of Video
International Journal of Computer Vision
An information theoretic approach for improving data driven prediction of protein model quality
Computers & Mathematics with Applications
A new efficient probabilistic model for mining labeled ordered trees applied to glycobiology
ACM Transactions on Knowledge Discovery from Data (TKDD)
Assisting novice software designers by an expert designer agent
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
On probabilistic inference by weighted model counting
Artificial Intelligence
Information Sciences: an International Journal
MEDIC: Medical embedded device for individualized care
Artificial Intelligence in Medicine
Reconfigurable computing for learning Bayesian networks
Proceedings of the 16th international ACM/SIGDA symposium on Field programmable gate arrays
Learning Probabilistic Models for Contour Completion in Natural Images
International Journal of Computer Vision
Latent tree models and diagnosis in traditional Chinese medicine
Artificial Intelligence in Medicine
Sporadic model building for efficiency enhancement of the hierarchical BOA
Genetic Programming and Evolvable Machines
Learning verb complements for modern greek: Balancing the noisy dataset
Natural Language Engineering
Dynamic multiagent probabilistic inference
International Journal of Approximate Reasoning
Approximate algorithms for credal networks with binary variables
International Journal of Approximate Reasoning
Computational Statistics & Data Analysis
Diagnostic reasoning and medical decision-making with fuzzy influence diagrams
Computer Methods and Programs in Biomedicine
Towards a user-centred road safety management method based on road traffic simulation
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Simulation of adaptive project management analytics
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Using artificial intelligent techniques to build adaptative tutoring systems
EATIS '07 Proceedings of the 2007 Euro American conference on Telematics and information systems
Complexity results and algorithms for possibilistic influence diagrams
Artificial Intelligence
Understanding the role of noise in stochastic local search: Analysis and experiments
Artificial Intelligence
Appraisal of companies with Bayesian networks
International Journal of Business Intelligence and Data Mining
Exploring evidential reasoning in multicriteria decision making under uncertainty
International Journal of Intelligent Systems Technologies and Applications
A Bayesian belief network model of a virtual learning community
International Journal of Web Based Communities
Supervised document classification based upon domain-specific term taxonomies
International Journal of Metadata, Semantics and Ontologies
Dynamic algorithm for inferring qualitative models of Gene Regulatory Networks
International Journal of Data Mining and Bioinformatics
Agent learning in the multi-agent contracting system [MACS]
Decision Support Systems
Competition and multiple cause models
Neural Computation
Neural Computation
A preliminary investigation of a neocortex model implementation on the Cray XD1
Proceedings of the 2007 ACM/IEEE conference on Supercomputing
Automatic fuzzy decision network transformation
AIKED'06 Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
An algebraic theory for statistical information based on the theory of hints
International Journal of Approximate Reasoning
Inference in directed evidential networks based on the transferable belief model
International Journal of Approximate Reasoning
RC_Link: Genetic linkage analysis using Bayesian networks
International Journal of Approximate Reasoning
MMACTE'05 Proceedings of the 7th WSEAS International Conference on Mathematical Methods and Computational Techniques In Electrical Engineering
Putting forecasting skills into websites: personalized prevention of high risk events
ICCOMP'05 Proceedings of the 9th WSEAS International Conference on Computers
Learning symmetric causal independence models
Machine Learning
Natural interaction in intelligent spaces: Designing for architecture and entertainment
Multimedia Tools and Applications
Learning Bayesian networks from incomplete databases using a novel evolutionary algorithm
Decision Support Systems
Mathematics and Computers in Simulation
A new combination of evidence based on compromise
Fuzzy Sets and Systems
A collaborative recommender system based on probabilistic inference from fuzzy observations
Fuzzy Sets and Systems
Inferring Connectivity of Genetic Regulatory Networks Using Information-Theoretic Criteria
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Using Echo State Networks for Anomaly Detection in Underground Coal Mines
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Pricing combinatorial markets for tournaments
STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing
Semiring induced valuation algebras: Exact and approximate local computation algorithms
Artificial Intelligence
A framework for linking advanced simulation models with interactive cognitive maps
Environmental Modelling & Software
Detection of Unfaithfulness and Robust Causal Inference
Minds and Machines
Event queries on correlated probabilistic streams
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Query evaluation with soft-key constraints
Proceedings of the twenty-seventh ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Causal analysis for performance modeling of computer programs
Scientific Programming
Proceedings of the 1st international conference on Robot communication and coordination
Preference networks: probabilistic models for recommendation systems
AusDM '07 Proceedings of the sixth Australasian conference on Data mining and analytics - Volume 70
Identification of best sets of actions in Influence Nets
International Journal of Hybrid Intelligent Systems
A Bayesian approach for on-line max and min auditing
PAIS '08 Proceedings of the 2008 international workshop on Privacy and anonymity in information society
Enhanced qualitative probabilistic networks for resolving trade-offs
Artificial Intelligence
Reasoning with recursive loops under the PLP framework
ACM Transactions on Computational Logic (TOCL)
A generalized model for financial time series representation and prediction
Applied Intelligence
An EM based multiple instance learning method for image classification
Expert Systems with Applications: An International Journal
Journal of Artificial Evolution and Applications - Particle Swarms: The Second Decade
Activity representation using 3D shape models
Journal on Image and Video Processing - Anthropocentric Video Analysis: Tools and Applications
Recognition of degraded characters using dynamic Bayesian networks
Pattern Recognition
Complex event processing over uncertain data
Proceedings of the second international conference on Distributed event-based systems
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Using previous models to bias structural learning in the hierarchical BOA
Proceedings of the 10th annual conference on Genetic and evolutionary computation
From mating pool distributions to model overfitting
Proceedings of the 10th annual conference on Genetic and evolutionary computation
iBOA: the incremental bayesian optimization algorithm
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Training structural SVMs when exact inference is intractable
Proceedings of the 25th international conference on Machine learning
On partial optimality in multi-label MRFs
Proceedings of the 25th international conference on Machine learning
Discriminative parameter learning for Bayesian networks
Proceedings of the 25th international conference on Machine learning
Discriminative Learning of Max-Sum Classifiers
The Journal of Machine Learning Research
Generalization from Observed to Unobserved Features by Clustering
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Adaptive dynamic probabilistic networks for distributed uncertainty processing
Journal of Experimental & Theoretical Artificial Intelligence
COMPARISON OF TWO TYPES OF EVENT BAYESIAN NETWORKS: A CASE STUDY
Applied Artificial Intelligence
Genetic networks: processing data, regulatory network modelling and their analysis
Optimization Methods & Software - Systems Analysis, Optimization and Data Mining in Biomedicine
Modelling user preferences and configuring services in B3G devices
Wireless Networks
User Profile Modeling in the context of web-based learning management systems
Journal of Network and Computer Applications
Probabilistic relaxation labelling using the Fokker-Planck equation
Pattern Recognition
Probabilistic logic with independence
International Journal of Approximate Reasoning
Handling uncertainty and defeasibility in a possibilistic logic setting
International Journal of Approximate Reasoning
Single robot - Multiple human interaction via intelligent user interfaces
Knowledge-Based Systems
Probabilistic processing of interval-valued sensor data
Proceedings of the 5th workshop on Data management for sensor networks
International Journal of Hybrid Intelligent Systems - HIS 2007
Utilizing phrase-similarity measures for detecting and clustering informative RSS news articles
Integrated Computer-Aided Engineering
Multi-robot Markov random fields
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
Modeling concurrent, interacting behavior moderators for simulation-based acquisition tasks
SpringSim '07 Proceedings of the 2007 spring simulation multiconference - Volume 3
Approximation algorithms for restricted Bayesian network structures
Information Processing Letters
Learning to assign degrees of belief in relational domains
Machine Learning
Learning probabilistic logic models from probabilistic examples
Machine Learning
Putting Objects in Perspective
International Journal of Computer Vision
A Bayesian network for IT governance performance prediction
Proceedings of the 10th international conference on Electronic commerce
Semantic impact graphs for information valuation
Proceedings of the eighth ACM symposium on Document engineering
A glimpse of symbolic-statistical modeling by PRISM
Journal of Intelligent Information Systems
Brief Communication: FunCat functional inference with belief propagation and feature integration
Computational Biology and Chemistry
A note on the correctness of the causal ordering algorithm
Artificial Intelligence
Mechanisms for information elicitation
Artificial Intelligence
Image and Vision Computing
Evidence and scenario sensitivities in naive Bayesian classifiers
International Journal of Approximate Reasoning
Efficient non-myopic value-of-information computation for influence diagrams
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
Modeling time-varying uncertain situations using Dynamic Influence Nets
International Journal of Approximate Reasoning
Belief update in CLG Bayesian networks with lazy propagation
International Journal of Approximate Reasoning
Adapting Bayes network structures to non-stationary domains
International Journal of Approximate Reasoning
Computer Vision and Image Understanding
Multi-Class Segmentation with Relative Location Prior
International Journal of Computer Vision
Boosted Bayesian network classifiers
Machine Learning
Using the Simulated Annealing Algorithm for Multiagent Decision Making
RoboCup 2006: Robot Soccer World Cup X
The Complexity of Translating BLPs to RMMs
Inductive Logic Programming
An Experiment with Fuzzy Sets in Data Mining
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
Discovering Latent Structures: Experience with the CoIL Challenge 2000 Data Set
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
An Intrusion Plan Recognition Algorithm Based on Max-1-Connected Causal Networks
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
CiE '07 Proceedings of the 3rd conference on Computability in Europe: Computation and Logic in the Real World
Improving Importance Sampling by Adaptive Split-Rejection Control in Bayesian Networks
CAI '07 Proceedings of the 20th conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
Adding Local Constraints to Bayesian Networks
CAI '07 Proceedings of the 20th conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
Path Propagation for Inference in Bayesian Networks
CAI '07 Proceedings of the 20th conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
A Context-Aware Movie Preference Model Using a Bayesian Network for Recommendation and Promotion
UM '07 Proceedings of the 11th international conference on User Modeling
A Probabilistic Relational Student Model for Virtual Laboratories
UM '07 Proceedings of the 11th international conference on User Modeling
The Max-Relevance and Min-Redundancy Greedy Bayesian Network Learning Algorithm
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
Putting Artificial Intelligence Techniques into a Concept Map to Build Educational Tools
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
Learning Transcriptional Regulatory Networks with Evolutionary Algorithms Enhanced with Niching
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
ProCarSur: A System for Dynamic Prognostic Reasoning in Cardiac Surgery
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
A Causal Modeling Framework for Generating Clinical Practice Guidelines from Data
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Inference in the Promedas Medical Expert System
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Belief Flow in Assertion Networks
ICCS '07 Proceedings of the 15th international conference on Conceptual Structures: Knowledge Architectures for Smart Applications
Survey of Improving Naive Bayes for Classification
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
A Causal Analysis for the Expenditure Data of Business Travelers
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
An Agent Based Modelling Approach for Stochastic Planning Parameters
HoloMAS '07 Proceedings of the 3rd international conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
ECML '07 Proceedings of the 18th European conference on Machine Learning
Dynamic Bayesian Networks for Real-Time Classification of Seismic Signals
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
The Garnata Information Retrieval System at INEX'07
Focused Access to XML Documents
Probabilistic Methods for Structured Document Classification at INEX'07
Focused Access to XML Documents
On Cross-Modal Perception of Musical Tempo and the Speed of Human Movement
Computer Music Modeling and Retrieval. Sense of Sounds
Bayesian Collaborative Predictors for General User Modeling Tasks
Neural Information Processing
Integrated Model for Informal Inference Based on Neural Networks
Neural Information Processing
Identifying Spam Web Pages Based on Content Similarity
ICCSA '08 Proceedings of the international conference on Computational Science and Its Applications, Part II
Probabilistic Entity Linkage for Heterogeneous Information Spaces
CAiSE '08 Proceedings of the 20th international conference on Advanced Information Systems Engineering
Collaborative Recommendations Using Bayesian Networks and Linguistic Modelling
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Active Exploration Using Bayesian Models for Multimodal Perception
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Mining Natural Language Programming Directives with Class-Oriented Bayesian Networks
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Learning and Inferences of the Bayesian Network with Maximum Likelihood Parameters
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Generalization of Concave and Convex Decomposition in Kikuchi Free Energy
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
A Dynamic Bayesian Network to Represent a Ripening Process of a Soft Mould Cheese
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
A Biphase-Bayesian-Based Method of Emotion Detection from Talking Voice
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III
Enhancing Efficiency of Hierarchical BOA Via Distance-Based Model Restrictions
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Probabilistically Estimating Backbones and Variable Bias: Experimental Overview
CP '08 Proceedings of the 14th international conference on Principles and Practice of Constraint Programming
Exact and Approximate Inference for Annotating Graphs with Structural SVMs
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Extracting Semantic Networks from Text Via Relational Clustering
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Distribution-Free Learning of Bayesian Network Structure
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Making Allocations Collectively: Iterative Group Decision Making under Uncertainty
MATES '08 Proceedings of the 6th German conference on Multiagent System Technologies
Extension of Bayesian Network Classifiers to Regression Problems
IBERAMIA '08 Proceedings of the 11th Ibero-American conference on AI: Advances in Artificial Intelligence
Transfer Learning for Bayesian Networks
IBERAMIA '08 Proceedings of the 11th Ibero-American conference on AI: Advances in Artificial Intelligence
IBERAMIA '08 Proceedings of the 11th Ibero-American conference on AI: Advances in Artificial Intelligence
An Efficient Algorithm for Naive Possibilistic Classifiers with Uncertain Inputs
SUM '08 Proceedings of the 2nd international conference on Scalable Uncertainty Management
Transitive Observation-Based Causation, Saliency, and the Markov Condition
SUM '08 Proceedings of the 2nd international conference on Scalable Uncertainty Management
Tractable Reasoning with Bayesian Description Logics
SUM '08 Proceedings of the 2nd international conference on Scalable Uncertainty Management
Performance Evaluation of Algorithms for Soft Evidential Update in Bayesian Networks: First Results
SUM '08 Proceedings of the 2nd international conference on Scalable Uncertainty Management
Student Modelling Based on Belief Networks
International Journal of Artificial Intelligence in Education
Interacting with Inspectable Bayesian Student Models
International Journal of Artificial Intelligence in Education
Looking Ahead to Select Tutorial Actions: A Decision-Theoretic Approach
International Journal of Artificial Intelligence in Education
Extreme inaccuracies in Gaussian Bayesian networks
Journal of Multivariate Analysis
Using Markov Blankets for Causal Structure Learning
The Journal of Machine Learning Research
Complete Identification Methods for the Causal Hierarchy
The Journal of Machine Learning Research
Reliability measurement without limits
Computational Linguistics
Environmental Modelling & Software
A socio-technical approach to business process simulation
Decision Support Systems
On the satisfiability threshold and clustering of solutions of random 3-SAT formulas
Theoretical Computer Science
IDENTIFIABILITY IN CAUSAL BAYESIAN NETWORKS: A GENTLE INTRODUCTION
Cybernetics and Systems
UNSUPERVISED ANOMALY DETECTION IN LARGE DATABASES USING BAYESIAN NETWORKS
Applied Artificial Intelligence
DYNAMIC MODELING OF GROUNDWATER POLLUTANTS WITH BAYESIAN NETWORKS
Applied Artificial Intelligence
Covariance selection for nonchordal graphs via chordal embedding
Optimization Methods & Software - Mathematical programming in data mining and machine learning
Explaining inferences in Bayesian networks
Applied Intelligence
Automatic diagnosis of mobile communication networks under imprecise parameters
Expert Systems with Applications: An International Journal
A new feature selection method for Gaussian mixture clustering
Pattern Recognition
Complex adaptive filtering user profile using graphical models
Information Processing and Management: an International Journal
Knowledge and Information Systems
International Journal of Artificial Intelligence in Education
Topics in Multi-User Information Theory
Foundations and Trends in Communications and Information Theory
Generating efficient safe query plans for probabilistic databases
Data & Knowledge Engineering
Multivariate analysis applied in Bayesian metareasoning
WSEAS TRANSACTIONS on SYSTEMS
Semantic web for net-enabled decision making
Proceedings of the 2nd international workshop on Ontologies and information systems for the semantic web
International Journal of Knowledge-based and Intelligent Engineering Systems
Passive diagnosis for wireless sensor networks
Proceedings of the 6th ACM conference on Embedded network sensor systems
Information Sciences: an International Journal
Journal of Biomedical Informatics
Causal Graphical Models with Latent Variables: Learning and Inference
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Learning Causal Bayesian Networks from Incomplete Observational Data and Interventions
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Discriminative vs. Generative Learning of Bayesian Network Classifiers
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Logical Compilation of Bayesian Networks with Discrete Variables
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Local Monotonicity in Probabilistic Networks
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
A Fast Hill-Climbing Algorithm for Bayesian Networks Structure Learning
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
On Directed and Undirected Propagation Algorithms for Bayesian Networks
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
A Partial Granger Causality Approach to Explore Causal Networks Derived From Multi-parameter Data
CMSB '08 Proceedings of the 6th International Conference on Computational Methods in Systems Biology
Thermal switching error versus delay tradeoffs in clocked QCA circuits
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Artificial Intelligence
Automatic parameter tuning with a Bayesian case-based reasoning system. A case of study
Expert Systems with Applications: An International Journal
Augmenting learning function to Bayesian network inferences with maximum likelihood parameters
Expert Systems with Applications: An International Journal
Use of hybrid multiple uncertain attribute decision making techniques in safety management
Expert Systems with Applications: An International Journal
Environmental Modelling & Software
Broad phonetic classification using discriminative Bayesian networks
Speech Communication
VideoCut: Removing Irrelevant Frames by Discovering the Object of Interest
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Belief Propagation in Wireless Sensor Networks - A Practical Approach
WASA '08 Proceedings of the Third International Conference on Wireless Algorithms, Systems, and Applications
International Journal of Electronic Commerce
A simple graphical approach for understanding probabilistic inference in Bayesian networks
Information Sciences: an International Journal
Reinforcement Learning with Markov Logic Networks
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Quantitative Possibilistic Networks: Handling Interventions and Ascribing Causality
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Fault Diagnosis of Industrial Systems with Bayesian Networks and Neural Networks
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
INFERENCE PROCEDURES FOR FUZZY KNOWLEDGE REPRESENTATION SCHEME
Applied Artificial Intelligence
MULTI-AGENT GRAPHICAL DECISION MODELS IN MEDICINE
Applied Artificial Intelligence
Learning-Function-Augmented Inferences of Causalities Implied in Health Data
Advanced Web and NetworkTechnologies, and Applications
Minimal separators in dependency structures: Properties and identification
Cybernetics and Systems Analysis
Probability propagation in fuzzy Bayesian belief networks with nondeterministic states
Cybernetics and Systems Analysis
Scaling analysis of a neocortex inspired cognitive model on the Cray XD1
The Journal of Supercomputing
Scalable pattern mining with Bayesian networks as background knowledge
Data Mining and Knowledge Discovery
Credal Networks for Operational Risk Measurement and Management
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Just Add Weights: Markov Logic for the Semantic Web
Uncertainty Reasoning for the Semantic Web I
Uncertainty Reasoning for the Semantic Web I
Finding Explanations for Assisting Pattern Interpretation
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
International Journal of Computer Vision
Fault Resolution in Case-Based Reasoning
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Probabilistic Nogood Store as a Heuristic
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Optimality of belief propagation for random assignment problem
SODA '09 Proceedings of the twentieth Annual ACM-SIAM Symposium on Discrete Algorithms
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Fundamenta Informaticae - Progress on Multi-Relational Data Mining
Learning Bayesian networks for discrete data
Computational Statistics & Data Analysis
Supervised classification using probabilistic decision graphs
Computational Statistics & Data Analysis
Interestingness filtering engine: Mining Bayesian networks for interesting patterns
Expert Systems with Applications: An International Journal
A phenotypic genetic algorithm for inductive logic programming
Expert Systems with Applications: An International Journal
Cost-benefit factor analysis in e-services using bayesian networks
Expert Systems with Applications: An International Journal
Knowledge acquisition for diagnosis model in wireless networks
Expert Systems with Applications: An International Journal
Graphical Models, Exponential Families, and Variational Inference
Foundations and Trends® in Machine Learning
Web robot detection: A probabilistic reasoning approach
Computer Networks: The International Journal of Computer and Telecommunications Networking
Using arguments for making and explaining decisions
Artificial Intelligence
Dynamic inference control in privacy preference enforcement
Proceedings of the 2006 International Conference on Privacy, Security and Trust: Bridge the Gap Between PST Technologies and Business Services
Graphical models for interactive POMDPs: representations and solutions
Autonomous Agents and Multi-Agent Systems
A Combined Classification Algorithm Based on C4.5 and NB
ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
On the influence of imputation in classification: practical issues
Journal of Experimental & Theoretical Artificial Intelligence
Bayesian classifiers based on kernel density estimation: Flexible classifiers
International Journal of Approximate Reasoning
Factors influencing the performance of Dynamic Decision Network for INQPRO
Computers & Education
Discovering semantic associations among Web services based on the qualitative probabilistic network
Expert Systems with Applications: An International Journal
Planning for success: The interdisciplinary approach to building Bayesian models
International Journal of Approximate Reasoning
Modeling human reasoning about meta-information
International Journal of Approximate Reasoning
Triangulation of Bayesian networks with recursive estimation of distribution algorithms
International Journal of Approximate Reasoning
BAIS: A Bayesian Artificial Immune System for the effective handling of building blocks
Information Sciences: an International Journal
A context switching streaming memory architecture to accelerate a neocortex model
Microprocessors & Microsystems
Enhancing Channel Estimation in Cognitive Radio Systems by means of Bayesian Networks
Wireless Personal Communications: An International Journal
Occlusion Boundaries from Motion: Low-Level Detection and Mid-Level Reasoning
International Journal of Computer Vision
Plan recognition for interface agents
Artificial Intelligence Review
Credal networks for military identification problems
International Journal of Approximate Reasoning
Data Collection Prioritization for System Quality Analysis
Electronic Notes in Theoretical Computer Science (ENTCS)
CaraClock: an interactive photo viewer designed for family memories
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Probabilistic Methods for Financial and Marketing Informatics
Probabilistic Methods for Financial and Marketing Informatics
Data integration with uncertainty
The VLDB Journal — The International Journal on Very Large Data Bases
Expert Systems with Applications: An International Journal
Message-passing and local heuristics as decimation strategies for satisfiability
Proceedings of the 2009 ACM symposium on Applied Computing
Inference in qualitative probabilistic networks revisited
International Journal of Approximate Reasoning
Multi-camera people tracking using evidential filters
International Journal of Approximate Reasoning
Learning Actions through Imitation and Exploration: Towards Humanoid Robots That Learn from Humans
Creating Brain-Like Intelligence
Representing and Inferring Causalities among Classes of Multidimensional Data
APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
Probabilistic Pose Recovery Using Learned Hierarchical Object Models
Cognitive Vision
Semantic Reasoning for Scene Interpretation
Cognitive Vision
Automatic Boosting of Cross-Product Coverage Using Bayesian Networks
HVC '08 Proceedings of the 4th International Haifa Verification Conference on Hardware and Software: Verification and Testing
Causal Ambiguity, Complexity, and Capability-Based Advantage
Management Science
Using Simulation to Evaluate Data-Driven Agents
Multi-Agent-Based Simulation IX
Graph-based channel detection for multitrack recording channels
EURASIP Journal on Advances in Signal Processing
A brief survey on anonymization techniques for privacy preserving publishing of social network data
ACM SIGKDD Explorations Newsletter
Belief Propagation: An Asymptotically Optimal Algorithm for the Random Assignment Problem
Mathematics of Operations Research
Shape-Based Object Localization for Descriptive Classification
International Journal of Computer Vision
A novel modular neural network for imbalanced classification problems
Pattern Recognition Letters
Exploration of term relationship for Bayesian network based sentence retrieval
Pattern Recognition Letters
Modelling sequences using pairwise relational features
Pattern Recognition
Combinatorial effects of local structures and scoring metrics in bayesian optimization algorithm
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop
Engineering Applications of Artificial Intelligence
Adaptive Bayesian network classifiers
Intelligent Data Analysis
On Inferences ofWeak Multivalued Dependencies
Fundamenta Informaticae
Data Mining and Knowledge Discovery
Learning Markov logic network structure via hypergraph lifting
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Multi-assignment clustering for Boolean data
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Compositional noisy-logical learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Scalable pseudo-likelihood estimation in hybrid random fields
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning, indexing, and diagnosing network faults
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Solving multiagent assignment Markov decision processes
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Conditional independence structure and its closure: Inferential rules and algorithms
International Journal of Approximate Reasoning
Editorial: Introduction to the special issue on Graphical Models and Information Retrieval
International Journal of Approximate Reasoning
Bayesian network models for hierarchical text classification from a thesaurus
International Journal of Approximate Reasoning
Approximate belief updating in max-2-connected Bayes networks is NP-hard
Artificial Intelligence
An automated ligand evolution system using Bayesian optimization algorithm
WSEAS Transactions on Information Science and Applications
RECOMB 2'09 Proceedings of the 13th Annual International Conference on Research in Computational Molecular Biology
Enumerating Unlabeled and Root Labeled Trees for Causal Model Acquisition
Canadian AI '09 Proceedings of the 22nd Canadian Conference on Artificial Intelligence: Advances in Artificial Intelligence
De novo ligand evolution using bayesian optimization algorithms
EC'09 Proceedings of the 10th WSEAS international conference on evolutionary computing
Mining Data and Modelling Social Capital in Virtual Learning Communities
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Developing a Bayes-net based student model for an External Representation Selection Tutor
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
A Greedy Knowledge Acquisition Method for the Rapid Prototyping of Bayesian Belief Networks
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Probabilistic Learner Modeling in Scientific Inquiry Exploratory Learning Environment
Proceedings of the 2005 conference on Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences: Sharing Good Practices of Research, Experimentation and Innovation
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Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Atomic Dynamic Bayesian Networks for a Responsive Student Model
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
Approximation Methods for Efficient Learning of Bayesian Networks
Proceedings of the 2008 conference on Approximation Methods for Efficient Learning of Bayesian Networks
Proceedings of the 2009 conference on New Directions in Neural Networks: 18th Italian Workshop on Neural Networks: WIRN 2008
Binarization Algorithms for Approximate Updating in Credal Nets
Proceedings of the 2006 conference on STAIRS 2006: Proceedings of the Third Starting AI Researchers' Symposium
An Inductive Logic Programming Approach to Statistical Relational Learning
Proceedings of the 2005 conference on An Inductive Logic Programming Approach to Statistical Relational Learning
Proceedings of the 2007 conference on Information Modelling and Knowledge Bases XVIII
Adaptive Algorithmic Hybrids for Human-Level Artificial Intelligence
Proceedings of the 2007 conference on Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms: Proceedings of the AGI Workshop 2006
The Effective Usage of the Results of Self-Check Quizzes
Proceedings of the 2007 conference on Supporting Learning Flow through Integrative Technologies
On the Issue of Contraposition of Defeasible Rules
Proceedings of the 2008 conference on Computational Models of Argument: Proceedings of COMMA 2008
How Might Probabilistic Reasoning Emerge from the Brain?
Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference
Probabilistic Quantifier Logic for General Intelligence: An Indefinite Probabilities Approach
Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference
Artificial General Intelligence through Large-Scale, Multimodal Bayesian Learning
Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference
Probabilistic-Logic Models: Reasoning and Learning with Relational Structures
Proceedings of the 2008 conference on Tenth Scandinavian Conference on Artificial Intelligence: SCAI 2008
Background default knowledge and causality ascriptions
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Possibilistic Influence Diagrams
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Decision with uncertainties, feasibilities, and utilities: towards a unified algebraic framework
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Knowledge Engineering for Bayesian Networks: How Common Are Noisy-MAX Distributions in Practice?
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Learning Behaviors Models for Robot Execution Control
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
An Efficient Student Model Based on Student Performance and Metadata
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
AI on the Move: Exploiting AI Techniques for Context Inference on Mobile Devices
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Combining Abduction with Conflict-based Diagnosis
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Bayesian Networks to Combine Intensity and Color Information in Face Recognition
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Fuzzy Variant of Affinity Propagation in Comparison to Median Fuzzy c-Means
WSOM '09 Proceedings of the 7th International Workshop on Advances in Self-Organizing Maps
Variational Bayes via propositionalized probability computation in PRISM
Annals of Mathematics and Artificial Intelligence
Intelligent bias of network structures in the hierarchical BOA
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Computer Methods and Programs in Biomedicine
Structure identification of Bayesian classifiers based on GMDH
Knowledge-Based Systems
Recovering Missing Data with Functional and Bayesian Networks
IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
Fuzzy Logic, Soft Computing, and Applications
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Marginals of DAG-Isomorphic Independence Models
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Acyclic Directed Graphs to Represent Conditional Independence Models
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Predicting Stock and Portfolio Returns Using Mixtures of Truncated Exponentials
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Classification of MedLine Documents Using MeSH Terms
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Logic-Based Probabilistic Modeling
WoLLIC '09 Proceedings of the 16th International Workshop on Logic, Language, Information and Computation
Tightly Coupled Probabilistic Description Logic Programs for the Semantic Web
Journal on Data Semantics XII
Steps to a Cyber-Physical Model of Networked Embodied Anticipatory Behavior
Anticipatory Behavior in Adaptive Learning Systems
VARSAT: Integrating Novel Probabilistic Inference Techniques with DPLL Search
SAT '09 Proceedings of the 12th International Conference on Theory and Applications of Satisfiability Testing
Embedded Probabilistic Programming
DSL '09 Proceedings of the IFIP TC 2 Working Conference on Domain-Specific Languages
Mining and Visualizing Mobile Social Network Based on Bayesian Probabilistic Model
UIC '09 Proceedings of the 6th International Conference on Ubiquitous Intelligence and Computing
Intelligent Decision Support Based on Influence Diagrams with Rough Sets
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Protein Design by Sampling an Undirected Graphical Model of Residue Constraints
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
A binary variable model for affinity propagation
Neural Computation
Belief propagation in networks of spiking neurons
Neural Computation
Identifying linear causal effects
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Bayesian network classifiers versus k-NN classifier using sequential feature selection
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Capturing user intent for information retrieval
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
An anytime scheme for bounding posterior beliefs
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
An edge deletion semantics for belief propagation and its practical impact on approximation quality
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
MPE and partial inversion in lifted probabilistic variable elimination
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
CUI networks: a graphical representation for conditional utility independence
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Efficient active fusion for decision-making via VOI approximation
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Memory intensive branch-and-bound search for graphical models
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Identification of joint interventional distributions in recursive semi-Markovian causal models
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
A characterization of interventional distributions in semi-Markovian causal models
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Sound and efficient inference with probabilistic and deterministic dependencies
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Robust mechanisms for information elicitation
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Sensor-based understanding of daily life via large-scale use of common sense
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Learning the DAG of bayesian belief networks by asking (conditional) (in-)dependence questions
Proceedings of the fifth international conference on Knowledge capture
A GeoAgent-based framework for knowledge-oriented representation: Embracing social rules in GIS
International Journal of Geographical Information Science
Automatic linear causal relationship identification for financial factor modeling
Expert Systems with Applications: An International Journal
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Graph-Based Analysis of Nasopharyngeal Carcinoma with Bayesian Network Learning Methods
GbRPR '09 Proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition
A Value Supplementation Method for Case Bases with Incomplete Information
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Case-Based Collective Inference for Maritime Object Classification
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Affectively Intelligent User Interfaces for Enhanced E-Learning Applications
HCD 09 Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009
Further Steps towards Driver Modeling According to the Bayesian Programming Approach
ICDHM '09 Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009
A Bayesian approach to automating argumentation
NeMLaP3/CoNLL '98 Proceedings of the Joint Conferences on New Methods in Language Processing and Computational Natural Language Learning
ICLP '09 Proceedings of the 25th International Conference on Logic Programming
Models for patch-based image restoration
Journal on Image and Video Processing - Special issue on patches in vision
An alignment algorithm using belief propagation and a structure-based distortion model
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Asset negotiation and trade-off support within a multi-agent environment
HuCom '08 Proceedings of the 1st International Working Conference on Human Factors and Computational Models in Negotiation
Analysing complex behaviour of hydrological systems through a system dynamics approach
Environmental Modelling & Software
Environmental Modelling & Software
AND/OR Branch-and-Bound search for combinatorial optimization in graphical models
Artificial Intelligence
Memory intensive AND/OR search for combinatorial optimization in graphical models
Artificial Intelligence
Review: Personalizing recommendations for tourists
Telematics and Informatics
Visibility of Journals for Journal of Visualization
Journal of Visualization
Temporal Bayesian classifiers for modelling muscular dystrophy expression data
Intelligent Data Analysis - Selected papers from IDA2005, Madrid, Spain
Competitive generative models with structure learning for NLP classification tasks
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks
Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
A join tree probability propagation architecture for semantic modeling
Journal of Intelligent Information Systems
Use of a Bayesian network for Red Listing under uncertainty
Environmental Modelling & Software
Scaling textual inference to the web
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Generalized graphical abstractions for statistical machine translation
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
Virtual evidence for training speech recognizers using partially labeled data
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
Chinese named entity recognition with cascaded hybrid model
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
Multi-label Moves for MRFs with Truncated Convex Priors
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Pose-Invariant Face Matching Using MRF Energy Minimization Framework
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Combining Topic Information and Structure Information in a Dynamic Language Model
TSD '09 Proceedings of the 12th International Conference on Text, Speech and Dialogue
Exploiting Data Missingness in Bayesian Network Modeling
IDA '09 Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII
Incremental Bayesian Network Learning for Scalable Feature Selection
IDA '09 Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII
On Discriminative Parameter Learning of Bayesian Network Classifiers
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
BayesianBand: Jam Session System Based on Mutual Prediction by User and System
ICEC '09 Proceedings of the 8th International Conference on Entertainment Computing
Integrating Logical Reasoning and Probabilistic Chain Graphs
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Minimum Free Energy Principle for Constraint-Based Learning Bayesian Networks
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Modeling Unreliable Observations in Bayesian Networks by Credal Networks
SUM '09 Proceedings of the 3rd International Conference on Scalable Uncertainty Management
Towards Effective Elicitation of NIN-AND Tree Causal Models
SUM '09 Proceedings of the 3rd International Conference on Scalable Uncertainty Management
Bias-driven revision of logical domain theories
Journal of Artificial Intelligence Research
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Discriminative model selection for belief net structures
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Distribution-free learning of Bayesian network structure in continuous domains
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Representing conditional independence using decision trees
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Learning static object segmentation from motion segmentation
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Semantic scene concept learning by an autonomous agent
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
A distributed approach to passive localization for sensor networks
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
Approximate inference of Bayesian networks through edge deletion
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 4
Using expectation maximization to find likely assignments for solving CSP's
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Learning causal models for noisy biological data mining: an application to ovarian cancer detection
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Possibilistic causal networks for handling interventions: a new propagation algorithm
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Learning large scale common sense models of everyday life
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Improving learning in networked data by combining explicit and mined links
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Mapping and revising Markov logic networks for transfer learning
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Stochastic filtering in a probabilistic action model
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Best-first AND/OR search for graphical models
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
VOILA: efficient feature-value acquisition for classification
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Generalized evidence pre-propagated importance sampling for hybrid Bayesian networks
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
SUNNY: a new algorithm for trust inference in social networks using probabilistic confidence models
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Unscented message passing for arbitrary continuous variables in Bayesian networks
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1
Exploiting causal independence using weighted model counting
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1
Factored models for probabilistic modal logic
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1
Adaptive traitor tracing with Bayesian networks
IAAI'07 Proceedings of the 19th national conference on Innovative applications of artificial intelligence - Volume 2
Diagnosing faults in electrical power systems of spacecraft and aircraft
IAAI'08 Proceedings of the 20th national conference on Innovative applications of artificial intelligence - Volume 3
Hidden dynamic probabilistic models for labeling sequence data
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Focusing generalizations of belief propagation on targeted queries
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Many-pairs mutual information for adding structure to belief propagation approximations
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Optimal testing of structured knowledge
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Lifted first-order belief propagation
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Structure learning on large scale common sense statistical models of human state
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
An interaction-based approach to computational epidemiology
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
On deducing conditional independence from d-separation in causal graphs with feedback
Journal of Artificial Intelligence Research
Randomized algorithms for the loop cutset problem
Journal of Artificial Intelligence Research
Value-function approximations for partially observable Markov decision processes
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Hierarchical reinforcement learning with the MAXQ value function decomposition
Journal of Artificial Intelligence Research
Probabilistic partial evaluation: exploiting rule structure in probabilistic inference
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
A study of causal discovery with weak links and small samples
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Learning probabilities for noisy first-order rules
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
PRISM: a language for symbolic-statistical modeling
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Reasoning within fuzzy description logics
Journal of Artificial Intelligence Research
Conditional plausibility measures and Bayesian networks
Journal of Artificial Intelligence Research
Exploiting contextual independence in probabilistic inference
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Efficient solution algorithms for factored MDPs
Journal of Artificial Intelligence Research
Complexity results and approximation strategies for MAP explanations
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Representation dependence in probabilistic inference
Journal of Artificial Intelligence Research
Ordinal and probabilistic representations of acceptance
Journal of Artificial Intelligence Research
Decentralized control of cooperative systems: categorization and complexity analysis
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Ignorability in statistical and probabilistic inference
Journal of Artificial Intelligence Research
Distributed reasoning in a peer-to-peer setting: application to the semantic web
Journal of Artificial Intelligence Research
A logic for reasoning about evidence
Journal of Artificial Intelligence Research
Convexity arguments for efficient minimization of the Bethe and Kikuchi free energies
Journal of Artificial Intelligence Research
Cutset sampling for Bayesian networks
Journal of Artificial Intelligence Research
An algebraic graphical model for decision with uncertainties, feasibilities, and utilities
Journal of Artificial Intelligence Research
Using qualitative hypotheses to identify inaccurate data
Journal of Artificial Intelligence Research
Learning membership functions in a function-based object recognition system
Journal of Artificial Intelligence Research
Improving connectionist energy minimization
Journal of Artificial Intelligence Research
Decision-theoretic foundations for causal reasoning
Journal of Artificial Intelligence Research
Probabilistic planning via heuristic forward search and weighted model counting
Journal of Artificial Intelligence Research
CUI networks: a graphical representation for conditional utility independence
Journal of Artificial Intelligence Research
Latent tree models and approximate inference in Bayesian networks
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
On similarities between inference in game theory and machine learning
Journal of Artificial Intelligence Research
AND/OR multi-valued decision diagrams (AOMDDs) for graphical models
Journal of Artificial Intelligence Research
Solving #SAT and Bayesian inference with backtracking search
Journal of Artificial Intelligence Research
Conservative inference rule for uncertain reasoning under incompleteness
Journal of Artificial Intelligence Research
Logarithmic-time updates and queries in probabilistic networks
Journal of Artificial Intelligence Research
Mean field theory for sigmoid belief networks
Journal of Artificial Intelligence Research
Active learning with statistical models
Journal of Artificial Intelligence Research
Characterizations of decomposable dependency models
Journal of Artificial Intelligence Research
Exploiting causal independence in Bayesian network inference
Journal of Artificial Intelligence Research
Query DAGs: a practical paradigm for implementing belief-network inference
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
When do numbers really matter?
Journal of Artificial Intelligence Research
Policy recognition in the abstract hidden Markov model
Journal of Artificial Intelligence Research
Random worlds and maximum entropy
Journal of Artificial Intelligence Research
Operations for learning with graphical models
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Mean-field methods for a special class of belief networks
Journal of Artificial Intelligence Research
Parameter learning of logic programs for symbolic-statistical modeling
Journal of Artificial Intelligence Research
Probabilistic deduction with conditional constraints over basic events
Journal of Artificial Intelligence Research
Variational probabilistic inference and the QMR-DT network
Journal of Artificial Intelligence Research
Variational cumulant expansions for intractable distributions
Journal of Artificial Intelligence Research
Intelligent monitoring and control
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
Node aggregation for distributed inference in Bayesian networks
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
On optimal game-tree search using rational meta-reasoning
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
A parallel algorithm for statistical belief refinement and its use in causal reasoning
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
A model for projection and action
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Outline of a naive semantics for reasoning with qualitative linguistic information
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
An evidence-based framework for a theory of inheritance
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Measure-free conditioning, probability and non-monotonic reasoning
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
An analysis of ATMS-based techniques for computing Dempster-Shafer belief functions
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Uncertainty, belief, and probability
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Constraint reasoning based on interval arithmetic
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Focusing construction and selection of abductive hypotheses
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
Exploiting irrelevance reasoning to guide problem solving
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
Statistical foundations for default reasoning
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
On the hardness of approximate reasoning
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
Second order measures for uncertainty processing
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
Challenge: what is the impact of Bayesian networks on learning?
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
PEBM: a probabilistic exemplar based model
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Branch and bound with mini-bucket heuristics
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Dealing with geometric constraints in game-theoretic planning
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Utilizing device behavior in structure-based diagnosis
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Structured modeling language for automated modeling in causal networks
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
On the role of context-specific independence in probabilistic inference
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Exploratory interaction with a Bayesian argumentation system
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Model-based diagnosis in the real world: lessons learned and challenges remaining
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Conflict-based diagnosis: adding uncertainty to model-based diagnosis
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Generalized additive Bayesian network classifiers
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Word sense disambiguation through sememe labeling
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Image modeling using tree structured conditional random fields
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Common sense based joint training of human activity recognizers
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A comparison of time-space schemes for graphical models
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Efficient and robust independence-based Markov network structure discovery
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Training conditional random fields using virtual evidence boosting
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Qualitative interpretation of spectral images: reasoning with uncertain evidence
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Model-based diagnosis using causal networks
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
A logical account of relevance
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Discriminative word alignment via alignment matrix modeling
StatMT '08 Proceedings of the Third Workshop on Statistical Machine Translation
OWA rough set model for forecasting the revenues growth rate of the electronic industry
Expert Systems with Applications: An International Journal
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Cp-logic: A language of causal probabilistic events and its relation to logic programming
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On the revision of probabilistic beliefs using uncertain evidence
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Dynamic Bayesian modeling of the cerebral activity
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
In the quest of the best form of local consistency for weighted CSP
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
When discriminative learning of Bayesian network parameters is easy
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
First-order probabilistic inference
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
New look at the semantics and optimization methods of CP-networks
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
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IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Possibilistic logic, preferential models, non-monotonicity and related issues
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Representing diagnostic knowledge for probabilistic Horn abduction
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
Directed constraint networks: a relational framework for causal modeling
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
Characterizing belief with minimum commitment
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
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Parallel distributed belief networks that learn
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A Bayesian belief network analysis of factors influencing wildfire occurrence in Swaziland
Environmental Modelling & Software
Serving Comparative Shopping Links Non-invasively
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Toward a Generic Framework for Modeling Human Behaviors in Crowd Simulation
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Efficient Distributed Bayesian Reasoning via Targeted Instantiation of Variables
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Enterprise architecture dependency analysis using fault trees and Bayesian networks
SpringSim '09 Proceedings of the 2009 Spring Simulation Multiconference
Cortical circuitry implementing graphical models
Neural Computation
Efficient Markov network structure discovery using independence tests
Journal of Artificial Intelligence Research
The optimization of framed aloha based RFID algorithms
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How the statistical revolution changes (computational) linguistics
ILCL '09 Proceedings of the EACL 2009 Workshop on the Interaction between Linguistics and Computational Linguistics: Virtuous, Vicious or Vacuous?
Approximate inference for first-order probabilistic languages
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Knowledge processing under information fidelity
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Active learning for structure in Bayesian networks
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Probabilistic classification and clustering in relational data
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Leveraging data about users in general in the learning of individual user models
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Plausibility measures: a general approach for representing uncertainty
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Efficient stochastic local search for MPE solving
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
AND/OR branch-and-bound for graphical models
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Decision diagrams for the computation of semiring valuations
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Sensitivity analysis in Markov networks
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
The inferential complexity of Bayesian and credal networks
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
BLOG: probabilistic models with unknown objects
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Probabilistic reasoning with hierarchically structured variables
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Learning forward models for robots
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
What kind of a graphical model is the brain?
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Local learning in probabilistic networks with hidden variables
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Learning to reason the non monotonic case
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On specificity in default logic
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Syntactic conditional closures for defeasible reasoning
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Optimizing decision quality with contract algorithms
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Diagnosing tree-decomposable circuits
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Representation dependence in probabilistic inference
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Models and algorithms for probabilistic and Bayesian logic
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The BATmobile: towards a Bayesian automated taxi
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Adaptive provision of evaluation-oriented information: tasks and techniques
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Representing uncertain data: models, properties, and algorithms
The VLDB Journal — The International Journal on Very Large Data Bases
PrDB: managing and exploiting rich correlations in probabilistic databases
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Fault Diagnosis in Discrete Event Systems Modeled by Partially Observed Petri Nets
Discrete Event Dynamic Systems
The theory of interval probabilistic logic programs
Annals of Mathematics and Artificial Intelligence
Partition-based logical reasoning for first-order and propositional theories
Artificial Intelligence - Special volume on reformulation
On the revision of probabilistic beliefs using uncertain evidence
Artificial Intelligence
Unifying tree decompositions for reasoning in graphical models
Artificial Intelligence
Bayesian network modelling through qualitative patterns
Artificial Intelligence
Causes and explanations in the structural-model approach: Tractable cases
Artificial Intelligence
Sequential inference with reliable observations: Learning to construct force-dynamic models
Artificial Intelligence
Decomposition of structural learning about directed acyclic graphs
Artificial Intelligence
Ranking functions and rankings on languages
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On the incompatibility of faithfulness and monotone DAG faithfulness
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Comparative experiments on learning information extractors for proteins and their interactions
Artificial Intelligence in Medicine
A spatio-temporal Bayesian network classifier for understanding visual field deterioration
Artificial Intelligence in Medicine
Message family propagation for ising mean field based on iteration tree
Proceedings of the 18th ACM conference on Information and knowledge management
Conditional log-linear structures for log-linear modelling
Computational Statistics & Data Analysis
Instanton-based techniques for analysis and reduction of error floors of LDPC codes
IEEE Journal on Selected Areas in Communications - Special issue on capaciyy approaching codes
Convergence analysis of generalized serial message-passing schedules
IEEE Journal on Selected Areas in Communications - Special issue on capaciyy approaching codes
Bayesian network classifiers for mineral potential mapping
Computers & Geosciences
Remote sensing data change detection based on the CI test of Bayesian networks
Computers & Geosciences
Low-density parity-check codes with 2-state trellis decoding
IEEE Transactions on Communications
High performance non-binary quasi-cyclic LDPC codes on euclidean geometries
IEEE Transactions on Communications
Doubly generalized LDPC codes over the AWGN channel
IEEE Transactions on Communications
A probabilistic LDPC-coded fault compensation technique for reliable nanoscale computing
IEEE Transactions on Circuits and Systems II: Express Briefs
Mind change optimal learning of Bayes net structure from dependency and independency data
Information and Computation
Impact of censoring on learning Bayesian networks in survival modelling
Artificial Intelligence in Medicine
Attribute selection with fuzzy decision reducts
Information Sciences: an International Journal
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International Journal of Approximate Reasoning
Methods for constructing balanced elimination trees and other recursive decompositions
International Journal of Approximate Reasoning
Automated compilation of Object-Oriented Probabilistic Relational Models
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Construction of non-binary quasi-cyclic LDPC codes by arrays and array dispersions
IEEE Transactions on Communications
IEEE Transactions on Robotics - Special issue on rehabilitation robotics
Parsing '05 Proceedings of the Ninth International Workshop on Parsing Technology
A conditional independence algorithm for learning undirected graphical models
Journal of Computer and System Sciences
Supervised learning algorithm for automatic adaption of situation templates using uncertain data
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Dynamic multiple fault diagnosis: mathematical formulations and solution techniques
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special section: Best papers from the 2007 biometrics: Theory, applications, and systems (BTAS 07) conference
Tracking by parts: a Bayesian approach with component collaboration
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Information-driven search strategies in the board game of CLUE®
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Matte-based restoration of vintage video
IEEE Transactions on Image Processing
Belief propagation with Gaussian priors for pilot-assisted communication over fading ISI channels
IEEE Transactions on Wireless Communications
Gradient based method for static facial features localization
VIIP '07 The Seventh IASTED International Conference on Visualization, Imaging and Image Processing
Mining and visualising ordinal data with non-parametric continuous BBNs
Computational Statistics & Data Analysis
Augmenting transportation-related recommendations through data mining
International Journal of Advanced Intelligence Paradigms
Markov network based ontology matching
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Expert Systems with Applications: An International Journal
A novel statistical generative model dedicated to face recognition
Image and Vision Computing
A BBN-based framework for adaptive IP-reuse
Proceedings of the 6th FPGAworld Conference
Realistic grammar error simulation using Markov Logic
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
A collaborative training algorithm for distributed learning
IEEE Transactions on Information Theory
Finding all small error-prone substructures in LDPC codes
IEEE Transactions on Information Theory
D-Separation and computation of probability distributions in Bayesian networks
Artificial Intelligence Review
General Geometric Good Continuation: From Taylor to Laplace via Level Sets
International Journal of Computer Vision
Notes on Cutset Conditioning on Factor Graphs with Cycles
Proceedings of the 2009 conference on Neural Nets WIRN09: Proceedings of the 19th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, May 28--30 2009
CI '07 Proceedings of the Third IASTED International Conference on Computational Intelligence
Critical remarks on belief updating in Bayesian networks
CI '07 Proceedings of the Third IASTED International Conference on Computational Intelligence
Extending ontology queries with Bayesian network reasoning
INES'09 Proceedings of the IEEE 13th international conference on Intelligent Engineering Systems
A fully multivariate DEUM algorithm
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Belief Propagation Based Segmentation of White Matter Tracts in DTI
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Inference and Learning in Planning (Extended Abstract)
DS '09 Proceedings of the 12th International Conference on Discovery Science
Learning Objects and Grasp Affordances through Autonomous Exploration
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
Transformer Diagnosis Using Probabilistic Vibration Models
MICAI '09 Proceedings of the 8th Mexican International Conference on Artificial Intelligence
Inferring Knowledge from Active Learning Simulators for Physics
MICAI '09 Proceedings of the 8th Mexican International Conference on Artificial Intelligence
Using Conditional Random Fields for Decision-Theoretic Planning
MDAI '09 Proceedings of the 6th International Conference on Modeling Decisions for Artificial Intelligence
Bayesian Networks: The Parental Synergy and the Prior Convergence Error
AI*IA '09: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence
A Bayesian approach for on-line max auditing of dynamic statistical databases
Proceedings of the 2009 EDBT/ICDT Workshops
A Bayesian approach integrating regional and global features for image semantic learning
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
On the use of virtual evidence in conditional random fields
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Criteria to evaluate approximate belief network representations in expert systems
Decision Support Systems
Simulating belief systems of autonomous agents
Decision Support Systems
Betting Boolean-style: a framework for trading in securities based on logical formulas
Decision Support Systems - Special issue: The fourth ACM conference on electronic commerce
New group shuffled BP decoding algorithms for LDPC codes
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3
Analysis of LDPC decoding schedules
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 2
Reducing bandwidth allocation delay in a DVB-RCS network using Bayesian neural network
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 3
Moving obstacle detection in highly dynamic scenes
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Scalable statistical learning: a modular Bayesian/Markov network approach
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
A motor learning neural model based on Bayesian network and reinforcement learning
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Learning Bayesian networks to perform feature selection
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Online temporal pattern learning
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Parallelizing two classes of neuromorphic models on the cell multicore architecture
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
A formal comparison of variable elimination and arc reversal in Bayesian network inference
Intelligent Decision Technologies
Semantic role labelling with tree conditional random fields
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
A self-learning expert system for diagnosis in traditional Chinese medicine
Expert Systems with Applications: An International Journal
Very large Bayesian multinets for text classification
Future Generation Computer Systems
Possibility theory: Conditional independence
Fuzzy Sets and Systems
Fuzzy methods in machine learning and data mining: Status and prospects
Fuzzy Sets and Systems
Model similarity and robustness in predictions from Bayesian networks
MIC '07 Proceedings of the 26th IASTED International Conference on Modelling, Identification, and Control
Query construction for user-guided knowledge discovery in databases
Information Sciences: an International Journal
Information Sciences: an International Journal
International Journal of Approximate Reasoning
A graphical characterization of the largest chain graphs
International Journal of Approximate Reasoning
Probabilistic temporal networks: A unified framework for reasoning with time and uncertainty
International Journal of Approximate Reasoning
Refinement of uncertain rule bases via reduction
International Journal of Approximate Reasoning
Graphical models for imprecise probabilities
International Journal of Approximate Reasoning
Characterization of inclusion neighbourhood in terms of the essential graph
International Journal of Approximate Reasoning
Introducing situational signs in qualitative probabilistic networks
International Journal of Approximate Reasoning
Using probabilistic argumentation for key validation in public-key cryptography
International Journal of Approximate Reasoning
A distance measure for bounding probabilistic belief change
International Journal of Approximate Reasoning
Foundations of probabilistic inference with uncertain evidence
International Journal of Approximate Reasoning
Learning Bayesian network parameters under order constraints
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
On finding the best combination of events in a Bayesian network
ACST '08 Proceedings of the Fourth IASTED International Conference on Advances in Computer Science and Technology
Intervening vs. non-intervening actions for INQPRO's dynamic learner model
ACST '08 Proceedings of the Fourth IASTED International Conference on Advances in Computer Science and Technology
A model searching method based on marginal model structures
AIA '08 Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications
Dynamic Bayesian network model for inflation risk warning
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Learning to classify by ongoing feature selection
Image and Vision Computing
Enterprise architecture analysis for data accuracy assessments
EDOC'09 Proceedings of the 13th IEEE international conference on Enterprise Distributed Object Computing
Analyzing probabilistic models in hierarchical BOA
IEEE Transactions on Evolutionary Computation - Special issue on evolutionary algorithms based on probabilistic models
Dynamic multiple-fault diagnosis with imperfect tests
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
The equivalence between Slepian-Wolf coding and channel coding under density evolution
IEEE Transactions on Communications
IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
Accumulate codes based on 1+D convolutional outer codes
IEEE Transactions on Communications
A new framework for soft decision equalization in frequency selective MIMO channels
IEEE Transactions on Communications
Mechanical Analogy of Statement Networks
International Journal of Applied Mathematics and Computer Science - Issues in Fault Diagnosis and Fault Tolerant Control
Context-aware classification for incremental scene interpretation
Proceedings of the Workshop on Use of Context in Vision Processing
A framework and token passing model for continuous speech recognition with dynamic Bayesian networks
SPPRA '08 Proceedings of the Fifth IASTED International Conference on Signal Processing, Pattern Recognition and Applications
A survey of collaborative filtering techniques
Advances in Artificial Intelligence
High-throughput bayesian computing machine with reconfigurable hardware
Proceedings of the 18th annual ACM/SIGDA international symposium on Field programmable gate arrays
Kansei agent framework for Kansei engineering
International Journal of Biometrics
Analysis of uncertain data: evaluation of given hypotheses
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Dynamic trees for sensor fusion
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
An experimental study on four models of customer churn prediction
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
A framework for reasoning under uncertainty with temporal constraints
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
On a framework for the prediction and explanation of changing opinions
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Structure learning for activity recognition in robot assisted intelligent environments
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
In situ analysis of capsule endoscopy images and preliminary results
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Motion clustering and estimation with conditional random fields
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Relaxed survey propagation for the weighted maximum satisfiability problem
Journal of Artificial Intelligence Research
Participatory technologies for designing ambient intelligence systems
Journal of Ambient Intelligence and Smart Environments
Organization reliability modeling of ship oil spill emergency management based on Bayesian network
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Research of threat identification based on Bayesian networks
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Situation assessment in a stochastic environment using a FUZZY-Bayesian technique
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Bridging the gap between intensional and extensional query evaluation in probabilistic databases
Proceedings of the 13th International Conference on Extending Database Technology
Interactive image segmentation using probabilistic hypergraphs
Pattern Recognition
Algebraic geometry of Bayesian networks
Journal of Symbolic Computation
Learning of model parameters for fault diagnosis in wireless networks
Wireless Networks
Safe and Distributed Kinodynamic Replanning for Vehicular Networks
Mobile Networks and Applications
A creative abduction approach to scientific and knowledge discovery
Knowledge-Based Systems
Computers and Electronics in Agriculture
Implementing belief propagation in neural circuits
Neurocomputing
Bayesian network classifiers versus selective k-NN classifier
Pattern Recognition
A Bayesian network-based framework for semantic image understanding
Pattern Recognition
Leveraging personal metadata for Desktop search: The Beagle++ system
Web Semantics: Science, Services and Agents on the World Wide Web
A note on minimal d-separation trees for structural learning
Artificial Intelligence
Neural Networks
Computational Statistics & Data Analysis
Bayesian network classification using spline-approximated kernel density estimation
Pattern Recognition Letters
Average-case analysis for the MAX-2SAT problem
Theoretical Computer Science
Review: Development of soft computing and applications in agricultural and biological engineering
Computers and Electronics in Agriculture
A multi-agent systems approach to distributed bayesian information fusion
Information Fusion
Using probabilistic confidence models for trust inference in Web-based social networks
ACM Transactions on Internet Technology (TOIT)
A mission-impact-based approach to INFOSEC alarm correlation
RAID'02 Proceedings of the 5th international conference on Recent advances in intrusion detection
Challenges for action theories
Challenges for action theories
Experimental evaluation of an automatic parameter setting system
Expert Systems with Applications: An International Journal
Computing Maximum Likelihood Estimates in Recursive Linear Models with Correlated Errors
The Journal of Machine Learning Research
Cautious Collective Classification
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Collaborative agent system using fuzzy logic for optimisation
NODe'02 Proceedings of the NODe 2002 agent-related conference on Agent technologies, infrastructures, tools, and applications for E-services
Predicate expression cost functions to guide evolutionary search for test data
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Vertical searching in juridical digital libraries
ECIR'03 Proceedings of the 25th European conference on IR research
Constructing Bayesian networks from association analysis
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Modelling citation networks for improving scientific paper classification performance
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Weightily averaged one-dependence estimators
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Variational upper bounds for probabilistic phylogenetic models
RECOMB'07 Proceedings of the 11th annual international conference on Research in computational molecular biology
Minimizing and learning energy functions for side-chain prediction
RECOMB'07 Proceedings of the 11th annual international conference on Research in computational molecular biology
Quality prediction and assessment for product lines
CAiSE'03 Proceedings of the 15th international conference on Advanced information systems engineering
A complete probabilistic belief logic
CLIMA VII'06 Proceedings of the 7th international conference on Computational logic in multi-agent systems
A prioritization approach for software test cases based on Bayesian networks
FASE'07 Proceedings of the 10th international conference on Fundamental approaches to software engineering
Using test plans for Bayesian modeling
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
Using Bayesian networks to analyze medical data
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
A machine learning model for information retrieval with structured documents
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
Incorporating a user model into an information theoretic framework for argument interpretation
UM'03 Proceedings of the 9th international conference on User modeling
Leveraging collaborative effort to infer intent
UM'03 Proceedings of the 9th international conference on User modeling
Cycle-cutset sampling for Bayesian networks
AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
Enhancing caching in distributed databases using intelligent polytree representations
AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
A new inference axiom for probabilistic conditional independence
AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
Probabilistic reasoning for meal planning in intelligent fridges
AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
Probabilistic reasoning in Bayesian networks: a relational database approach
AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
Knowledge discovery and emergent complexity in bioinformatics
KDECB'06 Proceedings of the 1st international conference on Knowledge discovery and emergent complexity in bioinformatics
Extracting user interests from bookmarks on the web
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
A new restricted Bayesian network classifier
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
Robust inference in Bayesian networks with application to gene expression temporal data
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Building a GA from design principles for learning Bayesian networks
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Evolutionary search for improved path diagrams
EvoBIO'07 Proceedings of the 5th European conference on Evolutionary computation, machine learning and data mining in bioinformatics
A probabilistic model for predicting software development effort
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartII
Soft security: isolating unreliable agents from society
AAMAS'02 Proceedings of the 2002 international conference on Trust, reputation, and security: theories and practice
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Application of the confidence measure in knowledge acquisition process
ICCS'03 Proceedings of the 2003 international conference on Computational science: PartIII
Unpacking meaning from words: a context-centered approach to computational lexicon design
CONTEXT'03 Proceedings of the 4th international and interdisciplinary conference on Modeling and using context
Safety critical software process improvement by multi-objective optimization algorithms
ICSP'07 Proceedings of the 2007 international conference on Software process
A cubic kernel for feedback vertex set
STACS'07 Proceedings of the 24th annual conference on Theoretical aspects of computer science
Evaluating query-independent object features for relevancy prediction
ECIR'07 Proceedings of the 29th European conference on IR research
Ontological technologies for user modelling
International Journal of Metadata, Semantics and Ontologies
Trading off granularity against complexity in predictive models for complex domains
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
Recognizing intentions from rejoinders in a Bayesian interactive argumentation system
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
Efficient inference in dynamic belief networks with variable temporal resolution
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
Revision of first-order Bayesian classifiers
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
Information selection and probabilistic 2D - 3D integration in mobile mapping
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
Trajectory based assessment of coordinated human activity
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
Finite mixture model of bounded semi-naive Bayesian networks classifier
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Hierarchical Bayesian network for handwritten digit recognition
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Collaborative information filtering by using categorized bookmarks on the web
INAP'01 Proceedings of the Applications of prolog 14th international conference on Web knowledge management and decision support
User models for adaptive hypermedia and adaptive educational systems
The adaptive web
The adaptive web
Open corpus adaptive educational hypermedia
The adaptive web
Temporal Bayesian networks for scenario recognition
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Mind change optimal learning of Bayes net structure
COLT'07 Proceedings of the 20th annual conference on Learning theory
Affective user modeling for adaptive intelligent user interfaces
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
Human pose estimation using a mixture of Gaussians based image modeling
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
A probabilistic reasoning approach for discovering web crawler sessions
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
Towards web services composition based on the mining and reasoning of their causal relationships
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
IWIC'07 Proceedings of the 1st international conference on Intercultural collaboration
Human computer intelligent interaction using augmented cognition and emotional intelligence
ICVR'07 Proceedings of the 2nd international conference on Virtual reality
Joint sulci detection using graphical models and boosted priors
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
High level group analysis of FMRI data based on dirichlet process mixture models
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
The use of a Bayesian network for web effort estimation
ICWE'07 Proceedings of the 7th international conference on Web engineering
Selecting features by learning Markov blankets
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
An application of machine learning methods to PM10Level medium-term prediction
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
Predictive and contextual feature separation for bayesian metanetworks
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
IDA'07 Proceedings of the 7th international conference on Intelligent data analysis
A multiple instance learning based framework for semantic image segmentation
Multimedia Tools and Applications
MICHO: a scalable constraint-based algorithm for learning Bayesian networks
Proceedings of the 2010 ACM Symposium on Applied Computing
Learning dependency model for AMP-activated protein kinase regulation
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
Finding similar RSS news articles using correlation-based phrase matching
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
Combinatorial optimization for electrode labeling of EEG caps
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Optimizing inference in Bayesian networks and semiring valuation algebras
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
A single-frame super-resolution innovative approach
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
A coarse-and-fine Bayesian belief propagation for correspondence problems in computer vision
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Learning locally weighted C4.4 for class probability estimation
DS'07 Proceedings of the 10th international conference on Discovery science
Fast NML computation for Naive Bayes models
DS'07 Proceedings of the 10th international conference on Discovery science
CMSB'07 Proceedings of the 2007 international conference on Computational methods in systems biology
Understanding topic influence based on module network
ICADL'07 Proceedings of the 10th international conference on Asian digital libraries: looking back 10 years and forging new frontiers
Local learning algorithm for markov blanket discovery
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Development process of the operational version of PDQM
WISE'07 Proceedings of the 8th international conference on Web information systems engineering
Weighted treewidth algorithmic techniques and results
ISAAC'07 Proceedings of the 18th international conference on Algorithms and computation
Two puzzles concerning measures of uncertainty and the positive Boolean connectives
EPIA'07 Proceedings of the aritficial intelligence 13th Portuguese conference on Progress in artificial intelligence
Nonlinear models for determining mode choice: accuracy is not always the optimal goal
EPIA'07 Proceedings of the aritficial intelligence 13th Portuguese conference on Progress in artificial intelligence
Learning in computer vision: some thoughts
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
A common framework for rough sets, databases, and Bayesian networks
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Order based genetic algorithms for the search of approximate entropy reducts
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Critical remarks on the computational complexity in probabilistic inference
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Bayesian reasoning for sensor group-queries and diagnosis
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
Recognizing activities with multiple cues
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Spatiotemporal anomaly detection in gas monitoring sensor networks
EWSN'08 Proceedings of the 5th European conference on Wireless sensor networks
Efficient clustering for improving network performance in wireless sensor networks
EWSN'08 Proceedings of the 5th European conference on Wireless sensor networks
Local soft belief updating for relational classification
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
A web-based interface for hiding Bayesian network inference
ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
Unsupervised change analysis using supervised learning
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
A decomposition algorithm for learning Bayesian network structures from data
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Cost propagation: numerical propagation for optimization problems
CPAIOR'08 Proceedings of the 5th international conference on Integration of AI and OR techniques in constraint programming for combinatorial optimization problems
Leveraging belief propagation, backtrack search, and statistics for model counting
CPAIOR'08 Proceedings of the 5th international conference on Integration of AI and OR techniques in constraint programming for combinatorial optimization problems
Using virtual coverage to hit hard-to-reach events
HVC'07 Proceedings of the 3rd international Haifa verification conference on Hardware and software: verification and testing
Using Bayesian network and AIS to perform feature subset selection
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Region of interest generation in dynamic environments using local entropy fields
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
Fast Markov blanket discovery algorithm via local learning within single pass
Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence
Towards a faster inference algorithm in multiply sectioned Bayesian networks
Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence
Approximating weighted Max-SAT problems by compensating for relaxations
CP'09 Proceedings of the 15th international conference on Principles and practice of constraint programming
Efficient generic search heuristics within the EMBP framework
CP'09 Proceedings of the 15th international conference on Principles and practice of constraint programming
Detecting computer intrusions with Bayesian networks
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Identification of Full and Partial Class Relevant Genes
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Association rule mining: models and algorithms
Association rule mining: models and algorithms
Learning Gaussian graphical models of gene networks with false discovery rate control
EvoBIO'08 Proceedings of the 6th European conference on Evolutionary computation, machine learning and data mining in bioinformatics
Labeling irregular graphs with belief propagation
IWCIA'08 Proceedings of the 12th international conference on Combinatorial image analysis
Preserving the privacy of sensitive relationships in graph data
PinKDD'07 Proceedings of the 1st ACM SIGKDD international conference on Privacy, security, and trust in KDD
Using Bayesian networks to direct stochastic search in inductive logic programming
ILP'07 Proceedings of the 17th international conference on Inductive logic programming
Probabilistic inductive logic programming
Probabilistic inductive logic programming
Probabilistic inductive logic programming
New advances in logic-based probabilistic modeling by PRISM
Probabilistic inductive logic programming
CLP(BN): constraint logic programming for probabilistic knowledge
Probabilistic inductive logic programming
Basic principles of learning Bayesian logic programs
Probabilistic inductive logic programming
The independent choice logic and beyond
Probabilistic inductive logic programming
A behavioral comparison of some probabilistic logic models
Probabilistic inductive logic programming
Message quantization in belief propagation: structural results in the low-rate regime
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
A low density lattice decoder via non-parametric belief propagation
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
How do the structure and the parameters of Gaussian tree models affect structure learning?
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Correlated non-parametric latent feature models
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Approximate inference on planar graphs using loop calculus and belief propagation
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Distributed parallel inference on large factor graphs
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
MAP estimation, message passing, and perfect graphs
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
MAP estimation of semi-metric MRFs via hierarchical graph cuts
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Logical inference algorithms and matrix representations for probabilistic conditional independence
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
A factorization criterion for acyclic directed mixed graphs
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Effects of treatment on the treated: identification and generalization
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Measuring inconsistency in probabilistic knowledge bases
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Feature subset selection based on Bayesian networks
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Learning Bayesian network structure from incomplete data without any assumption
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
A Framework for Iterated Belief Revision Using Possibilistic Counterparts to Jeffrey's Rule
Fundamenta Informaticae - Methodologies for Intelligent Systems
International Journal of Sensor Networks
A combined expression-interaction model for inferring the temporal activity of transcription factors
RECOMB'08 Proceedings of the 12th annual international conference on Research in computational molecular biology
An overview of planning under uncertainty
Artificial intelligence today
Knowledge representation for stochastic decision processes
Artificial intelligence today
A survey of automated deduction
Artificial intelligence today
Temporally invariant junction tree for inference in dynamic Bayesian network
Artificial intelligence today
Dependability metrics
ERACER: a database approach for statistical inference and data cleaning
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
GRN model of probabilistic databases: construction, transition and querying
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Lineage processing over correlated probabilistic databases
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
ONDUX: on-demand unsupervised learning for information extraction
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Empirical analysis of an on-line adaptive system using a mixture of Bayesian networks
Information Sciences: an International Journal
Variable elimination for influence diagrams with super value nodes
International Journal of Approximate Reasoning
ParaLearn: a massively parallel, scalable system for learning interaction networks on FPGAs
Proceedings of the 24th ACM International Conference on Supercomputing
High-throughput Bayesian network learning using heterogeneous multicore computers
Proceedings of the 24th ACM International Conference on Supercomputing
International Journal of Intelligent Information and Database Systems
Design and analysis of framed aloha based RFID anti-collision algorithms
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
On the relation of MIMO APP detection and SIMO maximum ratio combining
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
BANBAD - A Centralized belief-networks-based anomaly detection algorithm for MANETs
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Graphical probabilistic routing model for OBS networks with realistic traffic scenario
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
biRNA: fast RNA-RNA binding sites prediction
WABI'09 Proceedings of the 9th international conference on Algorithms in bioinformatics
Misuse-based intrusion detection using Bayesian networks
International Journal of Critical Computer-Based Systems
Propagation connectivity of random hypergraphs
SAGA'09 Proceedings of the 5th international conference on Stochastic algorithms: foundations and applications
Maximum a posteriori estimation of dynamically changing distributions
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
Overlapped text segmentation using Markov random field and aggregation
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Correcting suboptimal metrics in iterative decoders
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Combined normalized and offset min-sum decoding over partial response channels
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Skin and non-skin probability approximation based on discriminative tree distribution
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Bayesian compressive sensing via belief propagation
IEEE Transactions on Signal Processing
Learning Gaussian tree models: analysis of error exponents and extremal structures
IEEE Transactions on Signal Processing
Efficient sensor selection for active information fusion
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Flexible LDPC decoder design for multigigabit-per-second applications
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Bandwidth-efficient modulation codes based on nonbinary irregular repeat-accumulate codes
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory - Special issue on information theory in molecular biology and neuroscience
Understanding the scalability of Bayesian network inference using clique tree growth curves
Artificial Intelligence
Focusing solutions for data mining: analytical studies and experimental results in real-world domains
IEEE Transactions on Information Theory
A contextual data mining approach toward assisting the treatment of anxiety disorders
IEEE Transactions on Information Technology in Biomedicine - Special section on new and emerging technologies in bioinformatics and bioengineering
Revealing uncertainty for information visualization
Information Visualization
Effective structure learning for EDA via L1-regularizedbayesian networks
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Entropy-based substructural local search for the bayesian optimization algorithm
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Belief propagation: technical perspective
Communications of the ACM
Nonparametric belief propagation
Communications of the ACM
Learning Bayesian networks from survival data using weighting censored instances
Journal of Biomedical Informatics
Managing structured queries in probabilistic XML retrieval systems
Information Processing and Management: an International Journal
Efficient active probing for fault diagnosis in large scale and noisy networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
Quantifying the impact of AIDC technologies for vehicle component recovery
Computers and Industrial Engineering
Inferring document utility via a decision-making based retrieval model
International Journal of Knowledge-based and Intelligent Engineering Systems
Extracting temporal signatures for comprehending systems biology models
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Trust network inference for online rating data using generative models
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Dimensions in program synthesis
Proceedings of the 12th international ACM SIGPLAN symposium on Principles and practice of declarative programming
International Journal of Approximate Reasoning
Discovering effective connectivity among brain regions from functional MRI data
International Journal of Computers in Healthcare
ACM SIGGRAPH 2010 Posters
Affectively intelligent and adaptive car interfaces
Information Sciences: an International Journal
Probabilistic and analytical estimation of software development team size
International Journal of Hybrid Intelligent Systems
A Bayesian petrophysical decision support system for estimation of reservoir compositions
Expert Systems with Applications: An International Journal
Assessing critical success factors for military decision support
Expert Systems with Applications: An International Journal
Service operation classification for risk management
IBM Journal of Research and Development
Engineering Applications of Artificial Intelligence
The Knowledge Engineering Review
Chr(prism)-based probabilistic logic learning
Theory and Practice of Logic Programming
Bayesian networks for student model engineering
Computers & Education
Braille document recognition using Belief Propagation
Journal of Visual Communication and Image Representation
Guiding belief propagation using domain knowledge for protein-structure determination
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
Message passing for in-vivo field map estimation in MRI
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Orientation modulation for data hiding in clustered-dot halftone prints
IEEE Transactions on Image Processing
Context-awareness in crisis management
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
Learning patient-specific predictive models from clinical data
Journal of Biomedical Informatics
Semantic modeling of natural scenes based on contextual Bayesian networks
Pattern Recognition
Automatic diacritization for low-resource languages using a hybrid word and consonant CMM
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Test generation to expose changes in evolving programs
Proceedings of the IEEE/ACM international conference on Automated software engineering
Communications of the ACM
Introduction to Causal Inference
The Journal of Machine Learning Research
FastInf: An Efficient Approximate Inference Library
The Journal of Machine Learning Research
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers
The Journal of Machine Learning Research
Probabilistic Ontologies for Multi-INT Fusion
Proceedings of the 2010 conference on Ontologies and Semantic Technologies for Intelligence
Lower Bounds on Argument Verification in Computational Dialectic
Proceedings of the 2010 conference on Computational Models of Argument: Proceedings of COMMA 2010
Virtual Doctor System (VDS): Framework on Reasoning issues
Proceedings of the 2010 conference on New Trends in Software Methodologies, Tools and Techniques: Proceedings of the 9th SoMeT_10
The Necessity of Bounded Treewidth for Efficient Inference in Bayesian Networks
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Using Bayesian Networks in an Industrial Setting: Making Printing Systems Adaptive
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Kernel-Based Hybrid Random Fields for Nonparametric Density Estimation
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Instruction Cache Prediction Using Bayesian Networks
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Qualitative probabilistic networks with reduced ambiguities
Applied Intelligence
Join-graph propagation algorithms
Journal of Artificial Intelligence Research
Multiattribute auctions based on generalized additive independence
Journal of Artificial Intelligence Research
Belief propagation, Dykstra's algorithm, and iterated information projections
IEEE Transactions on Information Theory
Probabilistic model-based diagnosis: an electrical power system case study
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special issue on model-based diagnostics
Estimating the absolute position of a mobile robot using position probability grids
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Integrating grid-based and topological maps for mobile robot navigation
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Computing optimal policies for partially observable decision processes using compact representations
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
A qualitative model for temporal reasoning with incomplete information
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Goal oriented symbolic propagation in Bayesian networks
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Building classifiers using Bayesian networks
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Generalized queries on probabilistic context-free grammars
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Induction of selective Bayesian networks from data
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Belief network algorithms: a study of performance
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Localization of troubles in telephone cable networks
IAAI'96 Proceedings of the eighth annual conference on Innovative applications of artificial intelligence
Probabilistic semantics for cost based abduction
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
Two views of belief: belief as generalized probability and belief as evidence
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
The STRIPS assumption for planning under uncertainty
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
Dynamic across-time measurement interpretation
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
Causal theories for nonmonotonic reasoning
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
A circumscriptive theory for causal and evidential support
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
Conditional logics of normality as modal systems
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
A maximum entropy approach to nonmonotonic reasoning
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
A probabilistic interpretation for lazy nonmonotonic reasoning
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
Constructor: a system for the induction of probabilistic models
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
Learning causal trees from dependence information
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
Learning search control for constraint-based scheduling
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
Coping with uncertainty in a control system for navigation and exploration
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
The future of knowledge representation
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
Rationality and its roles in reasoning
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
A probabilistic model of plan recognition
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
A logic and time nets for probabilistic inference
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
System-Z+: a formalism for reasoning with variable-strength defaults
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
A new admissible heuristic for minimal-cost proofs
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
Explanation, irrelevance and statistical independence
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
A new framework for sensor interpretation: planning to resolve sources of uncertainty
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2
Approximate reasoning systems: a personal perspective
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2
An integrated approach to linking economic valuation and catchment modelling
Environmental Modelling & Software
Environmental Modelling & Software
New model for system behavior prediction based on belief rule based systems
Information Sciences: an International Journal
Improved decision-making in game trees: recovering from pathology
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Dynamic MAP calculations for abduction
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
A symbolic generalization of probability theory
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Probabilistic prediction of protein secondary structure using causal networks
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Efficient reasoning in qualitative probabilistic networks
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Abduction as belief revision: a model of preferred explanations
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
The paradoxical success of fuzzy logic
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Estimating probability distributions over hypotheses with variable unification
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Possibilistic and standard probabilistic semantics of conditional knowledge
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Model minimization in Markov decision processes
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Projective relations for 3D space: computational model, application, and psychological evaluation
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Bayes networks for estimating the number of solutions to a CSP
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
A practical algorithm for finding optimal triangulations
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
P-CLASSIC: a tractable probablistic description logic
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Effective Bayesian inference for stochastic programs
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Belief network inference in dynamic environments
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Towards an integrated, model-based codesign environment
ECBS'99 Proceedings of the 1999 IEEE conference on Engineering of computer-based systems
Defect cost flow model: a Bayesian network for predicting defect correction effort
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
IEEE Transactions on Information Theory
Efficient multisensory barrier for obstacle detection on railways
IEEE Transactions on Intelligent Transportation Systems
Maximum likelihood estimation of feature-based distributions
SIGMORPHON '10 Proceedings of the 11th Meeting of the ACL Special Interest Group on Computational Morphology and Phonology
Turbo parsers: dependency parsing by approximate variational inference
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Block-level Bayesian diagnosis of analogue electronic circuits
Proceedings of the Conference on Design, Automation and Test in Europe
Using multi-modal 3D contours and their relations for vision and robotics
Journal of Visual Communication and Image Representation
Optimal dynamic decision network model for scientific inquiry learning environment
Applied Intelligence
Improving the quality of text understanding by delaying ambiguity resolution
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Bagged gene shaving for the robust clustering of high-throughput data
International Journal of Bioinformatics Research and Applications
A new stochastic algorithm for strategy optimisation in Bayesian influence diagrams
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
The optimal reading strategy for EPC Gen-2 RFID anti-collision systems
IEEE Transactions on Communications
Epistemic irrelevance in credal nets: The case of imprecise Markov trees
International Journal of Approximate Reasoning
A multiple system performance monitoring model for web services
ADMI'10 Proceedings of the 6th international conference on Agents and data mining interaction
Stochastic modelling of the effects of interdependencies between critical infrastructure
CRITIS'09 Proceedings of the 4th international conference on Critical information infrastructures security
DASFAA'10 Proceedings of the 15th international conference on Database systems for advanced applications
Link-based text classification using Bayesian networks
INEX'09 Proceedings of the Focused retrieval and evaluation, and 8th international conference on Initiative for the evaluation of XML retrieval
Soft evidential update via Markov chain Monte Carlo inference
KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
Situation-specific intention recognition for human-robot cooperation
KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
Towards software health management with bayesian networks
Proceedings of the FSE/SDP workshop on Future of software engineering research
The cooperative optimization metaheuristic: inspiration from nature and applications
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Boruta - A System for Feature Selection
Fundamenta Informaticae
Dependency discovery in data quality
CAiSE'10 Proceedings of the 22nd international conference on Advanced information systems engineering
Noisy-or nodes for conditioning models
SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats
A graphical model for risk analysis and management
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
Data mining methods for quality assurance in an environmental monitoring network
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Hybrid HMM/BLSTM-RNN for robust speech recognition
TSD'10 Proceedings of the 13th international conference on Text, speech and dialogue
Exploiting repetitive object patterns for model compression and completion
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Bayesian knowledge corroboration with logical rules and user feedback
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
Relax, compensate and then recover: a theory of anytime, approximate inference
JELIA'10 Proceedings of the 12th European conference on Logics in artificial intelligence
Acyclic directed graphs representing independence models
International Journal of Approximate Reasoning
Approximate inference in Bayesian networks using binary probability trees
International Journal of Approximate Reasoning
Artificial Intelligence in Medicine
An efficient and scalable algorithm for local Bayesian network structure discovery
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Image denoising based on hierarchical Markov random field
Pattern Recognition Letters
SLGAD Resolution for Inference on Logic Programs with Annotated Disjunctions
Fundamenta Informaticae - RCRA 2008 Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion
A performance evaluation framework for association mining in spatial data
Journal of Intelligent Information Systems
What is happening now? Detection of activities of daily living from simple visual features
Personal and Ubiquitous Computing
Journal of Intelligent and Robotic Systems
Journal of Real-Time Image Processing
Discriminative graphical models for faculty homepage discovery
Information Retrieval
Lossy source compression using low-density generator matrix codes: analysis and algorithms
IEEE Transactions on Information Theory
On the relationship between belief propagation decoding and joint maximum likelihood detection
IEEE Transactions on Communications
Nearly monotonic problems: a key to effective FA/C distributed sensor interpretation?
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Irrelevance and conditioning in first-order probabilistic logic
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Utilizing knowledge-base semantics in graph-based algorithms
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Recursive probability trees for Bayesian networks
CAEPIA'09 Proceedings of the Current topics in artificial intelligence, and 13th conference on Spanish association for artificial intelligence
A probabilistic abduction engine for media interpretation based on ontologies
RR'10 Proceedings of the Fourth international conference on Web reasoning and rule systems
Efficient graphical models for processing images
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
A graphical model framework for coupling MRFs and deformable models
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Increasing sensor measurements to reduce detection complexity in large-scale detection applications
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Combining intensional with extensional query evaluation in tuple independent probabilistic databases
Information Sciences: an International Journal
Environmental Modelling & Software
Modified algorithm for efficient reasoning in qualitative belief networks
ISPDC'03 Proceedings of the Second international conference on Parallel and distributed computing
Variational inference with graph regularization for image annotation
ACM Transactions on Intelligent Systems and Technology (TIST)
Database-support for continuous prediction queries over streaming data
Proceedings of the VLDB Endowment
Hierarchical multiple sensor fusion using structurally learned Bayesian network
WH '10 Wireless Health 2010
Spatio-temporal patterns in network events
Proceedings of the 6th International COnference
Research frontier: deep machine learning--a new frontier in artificial intelligence research
IEEE Computational Intelligence Magazine
Norm-product belief propagation: primal-dual message-passing for approximate inference
IEEE Transactions on Information Theory
Maximal recovery network coding under topology constraint
IEEE Transactions on Information Theory
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Journal of Visual Communication and Image Representation
Dealing with complex queries in decision-support systems
Data & Knowledge Engineering
The automated understanding of simple bar charts
Artificial Intelligence
SampleSearch: Importance sampling in presence of determinism
Artificial Intelligence
Classification and Semantic Mapping of Urban Environments
International Journal of Robotics Research
Proceedings of the 32nd DAGM conference on Pattern recognition
Evaluate the quality of foundational software platform by Bayesian network
AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part II
From Bayesian classifiers to possibilistic classifiers for numerical data
SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management
Modelling probabilistic inference networks and classification in probabilistic datalog
SUM'10 Proceedings of the 4th international conference on Scalable uncertainty management
Introducing relevance awareness in BDI agents
ProMAS'09 Proceedings of the 7th international conference on Programming multi-agent systems
Indoor positioning using nonparametric belief propagation based on spanning trees
EURASIP Journal on Wireless Communications and Networking - Special issue on signal processing-assisted protocols and algorithms for cooperating objects and wireless sensor networks
Proceedings of the Sixth Asian Internet Engineering Conference
CoBayes: bayesian knowledge corroboration with assessors of unknown areas of expertise
Proceedings of the fourth ACM international conference on Web search and data mining
Data Mining and Knowledge Discovery
Journal of Automated Reasoning
Bayesian interpretation of border-ownership signals in early visual cortex
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
One size does not fit all: customizing ontology alignment using user feedback
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
Data Fusion with Entropic Priors
Proceedings of the 2011 conference on Neural Nets WIRN10: Proceedings of the 20th Italian Workshop on Neural Nets
BDTEX: A GQM-based Bayesian approach for the detection of antipatterns
Journal of Systems and Software
A belief function classifier based on information provided by noisy and dependent features
International Journal of Approximate Reasoning
Belief functions combination without the assumption of independence of the information sources
International Journal of Approximate Reasoning
Learning factorizations in estimation of distribution algorithms using affinity propagation
Evolutionary Computation
Constructing the Bayesian network structure from dependencies implied in multiple relational schemas
Expert Systems with Applications: An International Journal
Entropy-based evaluation relaxation strategy for Bayesian optimization algorithm
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III
Critiquing knowledge representation in medical image interpretation using structure learning
KR4HC'10 Proceedings of the ECAI 2010 conference on Knowledge representation for health-care
The complexity of finding kth most probable explanations in probabilistic networks
SOFSEM'11 Proceedings of the 37th international conference on Current trends in theory and practice of computer science
Active tuples-based scheme for bounding posterior beliefs
Journal of Artificial Intelligence Research
Model failure and context switching using logic-based stochastic
Journal of Computer Science and Technology
Detecting drifts in multi-issue negotiations
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
On-line viscosity virtual sensor for optimizing the combustion in power plants
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
A visual grammar for face detection
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Comparison of Bayesian and fuzzy ARTmap networks in HV transmission lines fault diagnosis
MMACTEE'10 Proceedings of the 12th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Bayesian fusion of hidden Markov models for understanding bimanual movements
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Approximate-min* constraint node updating for LDPC code decoding
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume I
Iterative message passing techniques for rapid code acquisition
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume I
Fault localization and self-healing with dynamic domain configuration
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume II
Multiclass object classification for real-time video surveillance systems
Pattern Recognition Letters
Learning Instance-Specific Predictive Models
The Journal of Machine Learning Research
Efficient Algorithms for Conditional Independence Inference
The Journal of Machine Learning Research
Improved Moves for Truncated Convex Models
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Adaptive e-learning using ECpAA rules, Bayesian models, and group profile and performance data
International Journal of Learning Technology
Maximal-confirmation diagnoses
Knowledge-Based Systems
SIAM Journal on Discrete Mathematics
Passive diagnosis for wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
Semantical case based reasoning related to virtual doctor system (VDS)
AIKED'11 Proceedings of the 10th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
A graphical model based solution to the facial feature point tracking problem
Image and Vision Computing
Random set framework for multiple instance learning
Information Sciences: an International Journal
Journal of Electrical and Computer Engineering - Special issue on iterative signal processing in communications
A timing-aware probabilistic model for single-event-upset analysis
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Sparse hidden-dynamics conditional random fields for user intent understanding
Proceedings of the 20th international conference on World wide web
Artificial Intelligence
Probabilistic reasoning for assembly-based 3D modeling
ACM SIGGRAPH 2011 papers
Man-made structure detection in natural images using a causal multiscale random field
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Nonparametric belief propagation
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Cascaded Bayesian inferencing for switching activity estimation with correlated inputs
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Expert Systems with Applications: An International Journal
Autonomous Agents and Multi-Agent Systems
A Bayesian network modeling approach for cross media analysis
Image Communication
Active learning and subspace clustering for anomaly detection
Intelligent Data Analysis
New graph polynomials from the bethe approximation of the ising partition function
Combinatorics, Probability and Computing
Bayesian networks in probabilistic relational data mining
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Document processing with Bayesian network and agent-based programming
SSIP'05 Proceedings of the 5th WSEAS international conference on Signal, speech and image processing
A design of reticular activating system based on P/N type matching selection
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
Distributed databases for machine learning: case of a medical domain
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
Component-based construction of bio-pathway models: The parameter estimation problem
Theoretical Computer Science
A hierarchical Naïve Bayes model for approximate identity matching
Decision Support Systems
Environmental Modelling & Software
Trust-based security level evaluation using Bayesian belief networks
Transactions on computational science X
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Nonlinear relational markov networks with an application to the game of go
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
A quantitative diagnostic method based on bayesian networks in traditional chinese medicine
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
Joint unsupervised structure discovery and information extraction
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Data generation using declarative constraints
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
ECC'11 Proceedings of the 5th European conference on European computing conference
An unsupervised sentiment classifier on summarized or full reviews
WISE'10 Proceedings of the 11th international conference on Web information systems engineering
Query relaxation for star queries on RDF
WISE'10 Proceedings of the 11th international conference on Web information systems engineering
An agent for versatile intelligence analysis system
Intelligent Decision Technologies - Special issue on knowledge-based environments and services in human-computer interaction
Spatiotemporal Models for Data-Anomaly Detection in Dynamic Environmental Monitoring Campaigns
ACM Transactions on Sensor Networks (TOSN)
Probabilistic error modeling for nano-domain logic circuits
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Topology discovery of sparse random graphs with few participants
Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Large scale probabilistic available bandwidth estimation
Computer Networks: The International Journal of Computer and Telecommunications Networking
Evaluating the difference between graph structures in Gaussian Bayesian networks
Expert Systems with Applications: An International Journal
A community question-answering refinement system
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
Modeling and querying probabilistic RDFS data sets with correlated triples
APWeb'11 Proceedings of the 13th Asia-Pacific web conference on Web technologies and applications
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part I
Graphical Methods, Inductive Causal Inference, and Econometrics: A Literature Review
Computational Economics
Global optimization of wavelet-domain hidden Markov tree for image segmentation
Pattern Recognition
Homage to Michael Gelfond on his 65th birthday
Logic programming, knowledge representation, and nonmonotonic reasoning
Affinity propagation enhanced by estimation of distribution algorithms
Proceedings of the 13th annual conference on Genetic and evolutionary computation
The gaussian polytree EDA for global optimization
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Towards proactive event-driven computing
Proceedings of the 5th ACM international conference on Distributed event-based system
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Implementing weighted abduction in Markov logic
IWCS '11 Proceedings of the Ninth International Conference on Computational Semantics
A probabilistic modeling framework for lexical entailment
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Natural Computing: an international journal
Compositional Bayesian modelling for computation of evidence collection strategies
Applied Intelligence
Topology discovery of sparse random graphs with few participants
ACM SIGMETRICS Performance Evaluation Review - Performance evaluation review
On the relation between cognitive and biological modelling of criminal behaviour
Computers in Human Behavior
Planning with incomplete information
MoChArt'10 Proceedings of the 6th international conference on Model checking and artificial intelligence
Artificial Intelligence
Logic, probability and computation: foundations and issues of statistical relational AI
LPNMR'11 Proceedings of the 11th international conference on Logic programming and nonmonotonic reasoning
LPNMR'11 Proceedings of the 11th international conference on Logic programming and nonmonotonic reasoning
Exploiting structure in weighted model counting approaches to probabilistic inference
Journal of Artificial Intelligence Research
Two Distributed-State Models For Generating High-Dimensional Time Series
The Journal of Machine Learning Research
The Indian Buffet Process: An Introduction and Review
The Journal of Machine Learning Research
Learning Latent Tree Graphical Models
The Journal of Machine Learning Research
Discriminative Learning of Bayesian Networks via Factorized Conditional Log-Likelihood
The Journal of Machine Learning Research
Parallel Algorithm for Learning Optimal Bayesian Network Structure
The Journal of Machine Learning Research
Dynamic ordering-based search algorithm for markov blanket discovery
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
Dynamic Bayesian networks for situational awareness in the presence of noisy data
Proceedings of the 12th International Conference on Computer Systems and Technologies
Intention recognition promotes the emergence of cooperation
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Fast wrapper feature subset selection in high-dimensional datasets by means of filter re-ranking
Knowledge-Based Systems
Learning temporal Bayesian networks for power plant diagnosis
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part I
Towards a computational model of the self-attribution of agency
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part I
Using four cost measures to determine arc reversal orderings
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Using the noisy-OR model can be harmful ... but it often is not
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Importance sampling on Bayesian networks with deterministic causalities
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
SemCaDo: a serendipitous strategy for learning causal Bayesian networks using ontologies
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Locally averaged Bayesian Dirichlet metrics
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Finding P-maps and I-maps to represent conditional independencies
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Relational probabilistic conditional reasoning at maximum entropy
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Transactions on computational science XII
A Markov random field approach to neural encoding and decoding
ICANN'11 Proceedings of the 21st international conference on Artificial neural networks - Volume Part II
Markov blanket approximation based on clustering
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
SAIFA: A web-based system for Integrated Production of olive cultivation
Computers and Electronics in Agriculture
Efficient design and inference in distributed bayesian networks: an overview
TbiLLC'09 Proceedings of the 8th international tbilisi conference on Logic, language, and computation
Towards a general vision system based on symbol-relation grammars and Bayesian networks
AGI'11 Proceedings of the 4th international conference on Artificial general intelligence
Reasoning in non-axiomatic logic: a case study in medical diagnosis
AGI'11 Proceedings of the 4th international conference on Artificial general intelligence
Pose and expression recognition using limited feature points based on a dynamic bayesian network
ARES'11 Proceedings of the IFIP WG 8.4/8.9 international cross domain conference on Availability, reliability and security for business, enterprise and health information systems
Abductive plan recognition by extending Bayesian logic programs
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Efficiently approximating Markov tree bagging for high-dimensional density estimation
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
A community-based pseudolikelihood approach for relationship labeling in social networks
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Simultaneous partitioned sampling for articulated object tracking
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Probabilistic document model for automated document composition
Proceedings of the 11th ACM symposium on Document engineering
Probabilistic logic reasoning about traffic scenes
TAROS'11 Proceedings of the 12th Annual conference on Towards autonomous robotic systems
Sensing with artificial tactile sensors: an investigation of spatio-temporal inference
TAROS'11 Proceedings of the 12th Annual conference on Towards autonomous robotic systems
Probabilistic logics in expert systems: approaches, implementations, and applications
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part I
Bayesian networks to predict data mining algorithm behavior in ubiquitous computing environments
MSM'10/MUSE'10 Proceedings of the 2010 international conference on Analysis of social media and ubiquitous data
Chameleon: a model of identification, authorization and accountability for ubicomp
UIC'11 Proceedings of the 8th international conference on Ubiquitous intelligence and computing
Recursive Compositional Models for Vision: Description and Review of Recent Work
Journal of Mathematical Imaging and Vision
Conjunctive query answering in probabilistic datalog+/- ontologies
RR'11 Proceedings of the 5th international conference on Web reasoning and rule systems
Intelligent fault inference for rotating flexible rotors using Bayesian belief network
Expert Systems with Applications: An International Journal
Static and dynamic adaptations for service-based systems
Information and Software Technology
Wumpus World in introductory artificial intelligence
Journal of Computing Sciences in Colleges
Combining topic specific language models
TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
A Bayesian approach for combining ensembles of GP classifiers
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Managing COPD exacerbations with telemedicine
AIME'11 Proceedings of the 13th conference on Artificial intelligence in medicine
Multi-sensor fusion through adaptive bayesian networks
AI*IA'11 Proceedings of the 12th international conference on Artificial intelligence around man and beyond
Advanced Engineering Informatics
Artificial intelligence and the future of cybersecurity
Proceedings of the 4th ACM workshop on Security and artificial intelligence
Incorporating expert knowledge when learning Bayesian network structure: A medical case study
Artificial Intelligence in Medicine
A survey on question answering technology from an information retrieval perspective
Information Sciences: an International Journal
Evaluating probabilistic inference techniques: a question of "When," not "Which"
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
Patterns discovery for efficient structured probabilistic inference
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
Indirect elicitation of NIN-AND trees in causal model acquisition
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
Answering threshold queries in probabilistic datalog+/-ontologies
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
Transformations around quantitative possibilistic logic
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
Possibilistic network-based classifiers: on the reject option and concept drift issues
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
Hierarchical qualitative inference model with substructures
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
KI'11 Proceedings of the 34th Annual German conference on Advances in artificial intelligence
Efficient sequential clamping for lifted message passing
KI'11 Proceedings of the 34th Annual German conference on Advances in artificial intelligence
Intention-based decision making with evolution prospection
EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
Properties of Bethe free energies and message passing in Gaussian models
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Sequential diagnosis by abstraction
Journal of Artificial Intelligence Research
Label-dependent node classification in the network
Neurocomputing
On the properties of concept classes induced by multivalued Bayesian networks
Information Sciences: an International Journal
Duplicate detection through structure optimization
Proceedings of the 20th ACM international conference on Information and knowledge management
Estimating selectivity for joined RDF triple patterns
Proceedings of the 20th ACM international conference on Information and knowledge management
Expert Systems with Applications: An International Journal
An Implementation of Intellignt Energy Saving System
GREENCOM '11 Proceedings of the 2011 IEEE/ACM International Conference on Green Computing and Communications
Inferring laser-scan matching uncertainty with conditional random fields
Robotics and Autonomous Systems
Planning for mechatronics systems-Architecture, methods and case study
Engineering Applications of Artificial Intelligence
Model-based multidimensional clustering of categorical data
Artificial Intelligence
Most probable explanations in Bayesian networks: Complexity and tractability
International Journal of Approximate Reasoning
Effective connectivity analysis of fMRI and MEG data collected under identical paradigms
Computers in Biology and Medicine
A temporal Bayesian network for diagnosis and prediction
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Random algorithms for the loop cutset problem
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Possibilistic logic bases and possibilistic graphs
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Comparing Bayesian network classifiers
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Causal discovery from a mixture of experimental and observational data
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Data analysis with bayesian networks: a bootstrap approach
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Quantifier elimination for statistical problems
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
SPUDD: stochastic planning using decision diagrams
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Mini-bucket heuristics for improved search
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
On supervised selection of Bayesian networks
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Representing and combining partially specified CPTs
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
A Bayesian network classifier that combines a finite mixture model and a naïve bayes model
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Loopy belief propagation for approximate inference: an empirical study
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Learning Bayesian networks with restricted causal interactions
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Variational learning in mixed-state dynamic graphical models
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Graphical representations of consensus belief
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Bayesian networks for dependability analysis: an application to digital control reliability
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Inference networks and the evaluation of evidence: alternative analyses
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Practical uses of belief functions
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Contextual weak independence in Bayesian networks
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Inference in multiply sectioned Bayesian networks with extended Shafer-Shenoy and lazy propagation
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Finding optimal bayesian networks
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Iterative join-graph propagation
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Causes and explanations in the structural-model approach
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Factorization of discrete probability distributions
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Expectation propagation for approximate inference in dynamic bayesian networks
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Continuous time bayesian networks
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
MAP complexity results and approximation methods
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Bayesian network classifiers in a high dimensional framework
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
From qualitative to quantitative probabilistic networks
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Inference with separately specified sets of probabilities in credal networks
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Asymptotic model selection for naive Bayesian networks
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Real-time inference with large-scale temporal bayes nets
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Discriminative probabilistic models for relational data
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
On the testable implications of causal models with hidden variables
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
IPF for discrete chain factor graphs
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Robust feature selection by mutual information distributions
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Perfect tree-like Markovian distributions
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
A Bayesian method for causal modeling and discovery under selection
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Separation properties of sets of probability measures
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Any-space probabilistic inference
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Rao-blackwellised particle filtering for dynamic Bayesian networks
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
A qualitative linear utility theory for Spohn's theory of epistemic beliefs
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Conditional plausibility measures and Bayesian networks
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Inference for belief networks using coupling from the past
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Probabilistic arc consistency: a connection between constraint reasoning and probabilistic reasoning
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Combinatorial optimization by learning and simulation of Bayesian networks
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Causal mechanism-based model constructions
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Credal networks under maximum entropy
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Probabilistic models for agents' beliefs and decisions
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Probabilistic models for query approximation with large sparse binary data sets
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Compact securities markets for pareto optimal reallocation of risk
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Pivotal pruning of trade-offs in QPNs
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Monte Carlo inference via greedy importance sampling
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
On the use of skeletons when learning in Bayesian networks
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Dynamic trees: a structured variational method giving efficient propagation rules
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
A branch-and-bound algorithm for MDL learning Bayesian networks
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Variational approximations between mean field theory and the junction tree algorithm
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Exploiting qualitative knowledge in the learning of conditional probabilities of Bayesian networks
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
When do numbers really matter?
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Confidence inference in bayesian networks
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Linearity properties of bayes nets with binary variables
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Hybrid processing of beliefs and constraints
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Multivariate information bottleneck
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Enumerating Markov equivalence classes of acyclic digraph dels
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
On characterizing inclusion of Bayesian networks
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Classifier learning with supervised marginal likelihood
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
A Bayesian multiresolution independence test for continuous variables
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Aggregating learned probabilistic beliefs
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
The factored frontier algorithm for approximate inference in DBNs
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Toward general analysis of recursive probability models
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
A tractable POMDP for a class of sequencing problems
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Bayesian error-bars for belief net inference
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Belief optimization for binary networks: a stable alternative to loopy belief propagation
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
A hybrid algorithm to compute marginal and joint beliefs in Bayesian networks and its complexity
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Query expansion in information retrieval systems using a Bayesian network-based thesaurus
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Utility elicitation as a classification problem
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Irrelevance and independence relations in Quasi-Bayesian networks
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
On the semi-Markov equivalence of causal models
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
The Bayesian structural EM algorithm
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Graphical models and exponential families
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Psychological and normative theories of causal power and the probabilities of causes
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Any time probabilistic reasoning for sensor validation
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Exact inference of hidden structure from sample data in noisy-OR networks
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Large deviation methods for approximate probabilistic inference
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Magic inference rules for probabilistic deduction under taxonomic knowledge
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
A multivariate discretization method for learning Bayesian networks from mixed data
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Logarithmic time parallel Bayesian inference
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Context-specific approximation in probabilistic inference
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Empirical evaluation of approximation algorithms for probabilistic decoding
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Bayesian networks from the point of view of chain graphs
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Probabilistic inference in influence diagrams
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Graphical models for preference and utility
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Counterfactuals and policy analysis in structural models
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Belief functions and default reasoning
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Automating computer bottleneck detection with belief nets
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Error estimation in approximate Bayesian belief network inference
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Conditioning algorithms for exact and approximate inference in causal networks
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Independence concepts for convex sets of probabilities
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Logarithmic-time updates and queries in probabilistic networks
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Clustering without (thinking about) triangulation
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Implementation of continuous Bayesian networks using sums of weighted Gaussians
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Elicitation of probabilities for belief networks: combining qualitative and quantitative information
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Plausibility measures: a user's guide
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Testing identifiability of causal effects
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
A characterization of the dirichlet distribution with application to learning Bayesian networks
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Fast belief update using order-of-magnitude probabilities
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
A definition and graphical representation for causality
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
A Bayesian approach to learning causal networks
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Improved sampling for diagnostic reasoning in Bayesian networks
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Information/relevance influence diagrams
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
On the detection of conflicts in diagnostic Bayesian networks using abstraction
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Sensitivities: an alternative to conditional probabilities for Bayesian belief networks
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Causal inference and causal explanation with background knowledge
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Strong completeness and faithfulness in Bayesian networks
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Refining reasoning in qualitative probabilistic networks
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Exploiting the rule structure for decision making within the independent choice logic
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Abstraction in belief networks: the role of intermediate states in diagnostic reasoning
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
A new pruning method for solving decision trees and game trees
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Directed cyclic graphical representations of feedback models
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Causal inference in the presence of latent variables and selection bias
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Exploiting system hierarchy to compute repair plans in probabilistic model-based diagnosis
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
A method for implementing a probabilistic model as a relational database
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Optimization of inter-subnet belief updating in multiply sectioned Bayesian networks
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Inference with causal independence in the CPSC network
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Bayes networks for sonar sensor fusion
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Algorithms for learning decomposable models and chordal graphs
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Defining explanation in probabilistic systems
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Structured arc reversal and simulation of dynamic probabilistic networks
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Robustness analysis of Bayesian networks with local convex sets of distributions
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
A scheme for approximating probabilistic inference
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Learning Bayesian nets that perform well
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Learning belief networks in domains with recursively embedded pseudo independent submodels
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Composition of probability measures on finite spaces
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Object-oriented Bayesian networks
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Nonuniform dynamic discretization in hybrid networks
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Network fragments: representing knowledge for constructing probabilistic models
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Computational advantages of relevance reasoning in Bayesian belief networks
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
A target classification decision aid
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Structure and parameter learning for causal independence and causal interaction models
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
The cognitive processing of causal knowledge
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Learning Bayesian networks from incomplete databases
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Cost-sharing in Bayesian knowledge bases
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Score and information for recursive exponential models with incomplete data
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Independence of causal influence and clique tree propagation
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
An algorithm for finding minimum d-separating sets in belief networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
An alternative Markov property for chain graphs
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
A sufficiently fast algorithm for finding close to optimal junction trees
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Context-specific independence in Bayesian networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Propagation of 2-monotone lower probabilities on an undirected graph
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Bucket elimination: a unifying framework for probabilistic inference
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Topological parameters for time-space tradeoff
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
An evaluation of structural parameters for probabilistic reasoning: results on benchmark circuits
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Learning Bayesian networks with local structure
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
On the sample complexity of learning Bayesian networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Flexible policy construction by information refinement
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
A probabilistic model for sensor validation
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Computing upper and lower bounds on likelihoods in intractable networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Computational complexity reduction for BN2O networks using similarity of states
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Network engineering for complex belief networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Identifying independencies in causal graphs with feedback
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
A graph-theoretic analysis of information value
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
A discovery algorithm for directed cyclic graphs
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
A polynomial-time algorithm for deciding Markov equivalence of directed cyclic graphical models
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Coherent knowledge processing at maximum entropy by spirit
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Sample-and-accumulate algorithms for belief updating in Bayes networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Efficient enumeration of instantiations in Bayesian networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
On separation criterion and recovery algorithm for chain graphs
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Testing implication of probabilistic dependencies
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Critical remarks on single link search in learning belief networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Approximation algorithms for the loop cutset problem
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Properties of Bayesian belief network learning algorithms
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
A stratified simulation scheme for inference in Bayesian belief networks
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Symbolic probabilistic inference in large BN20 networks
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Action networks: a framework for reasoning about actions and change under uncertainty
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
On the relation between kappa calculus and probabilistic reasoning
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
A structured, probabilistic representation of action
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Localized partial evaluation of belief networks
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
A probabilistic model of action for least-commitment planning with information gathering
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Some properties of joint probability distributions
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
An ordinal view of independence with application to plausible reasoning
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Value of evidence on influence diagrams
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Conditional independence in possibility theory
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
On testing whether an embedded Bayesian network represents a probability model
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Generating Bayesian networks from probability logic knowledge bases
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
A new look at causal independence
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
An experimental comparison of numerical and qualitative probabilistic reasoning
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
An alternative proof method for possibilistic logicand its application to terminological logics
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Possibilistic conditioning and propagation
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
The automated mapping of plans for plan recognition
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
From influence diagrams to junction trees
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Reduction of computational complexity in Bayesian networksthrough removal of weak dependences
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Syntax-based default reasoning as probabilistic model-based diagnosis
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Induction of selective Bayesian classifiers
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Incremental dynamic construction of layered polytree networks
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
A probabilistic calculus of actions
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Knowledge engineering for large belief networks
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Solving asymmetric decision problems with influence diagrams
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Belief maintenance in Bayesian networks
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Belief updating by enumerating high-probabilityindependence-based assignments
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Global conditioning for probabilistic inference in belief networks
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
A probabilistic approach to hierarchical model-based diagnosis
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Semigraphoids are two-antecedental approximations ofstochastic conditional independence models
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Exceptional subclasses in qualitative probability
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
A defect in Dempster-Shafer theory
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
State-space abstraction for anytime evaluation of probabilistic networks
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Generating graphoids from generalised conditional probability
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
On axiomatization of probabilistic conditional independencies
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Evidential reasoning with conditional belief functions
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Intercausal independence and heterogeneous factorization
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Causality in Bayesian belief networks
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
From conditional oughts to qualitative decision theory
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
A study of scaling issues in Bayesian belief networks for ship classification
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
On considering uncertainty and alternatives in low-level vision
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Normative engineering risk management systems
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Additive belief-network models
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Causal independence for knowledge acquisition and inference
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Sensitivity analysis for probability assessments in Bayesian networks
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Some complexity considerations in the combination of belief networks
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Deriving a minimal I-map of a belief network relative to a target ordering of its nodes
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Probabilistic conceptual network: a belief representation scheme for utility-based categorization
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Mixtures of Gaussians and minimum relative entropy techniques for modeling continuous uncertainties
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Valuation networks and conditional independence
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Relevant explanations: allowing disjunctive assignments
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
A generalization of the noisy-or model
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Using first-order probability logic for the construction of Bayesian networks
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Representing and reasoning with probabilistic knowledge: a Bayesian approach
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Using causal information and local measures to learn Bayesian networks
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
An algorithm for the construction of Bayesian network structures from data
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Incremental probabilistic inference
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Intercausal reasoning with uninstantiated ancestor nodes
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Inference algorithms for similarity networks
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Two procedures for compiling influence diagrams
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
An efficient approach for finding the MPE in belief networks
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
The use of conflicts in searching Bayesian networks
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Using tree-decomposable structures to approximate belief networks
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Deciding morality of graphs is NP-complete
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Argument calculus and networks
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
On reasoning in networks with qualitative uncertainty
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
The probability of a possibility: adding uncertainty to default rules
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Jeffrey's rule of conditioning generalized to belief functions
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Belief revision in probability theory
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
RES: a relative method for evidential reasoning
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Optimizing causal orderings for generating DAGs from data
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Modal logics for qualitative possibility and beliefs
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Lattice-based graded logic: a multimodal approach
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Reformulating inference problems through selective conditioning
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Parallelizing probabilistic inference: some early explorations
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Objection-based causal networks
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
A symbolic approach to reasoning with linguistic quantifiers
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
An entropy-based learning algorithm of Bayesian conditional trees
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Reasoning with qualitative probabilities can be tractable
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Calculating uncertainty intervals from conditional convex sets of probabilities
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
aHUGIN: a system creating adaptive causal probabilistic networks
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Exploring localization in Bayesian networks for large expert systems
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Sidestepping the triangulation problem in Bayesian net computations
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Modeling web services based on the bayesian network
ASIAN'05 Proceedings of the 10th Asian Computing Science conference on Advances in computer science: data management on the web
The dynamic stage bayesian network: identifying and modelling key stages in a temporal process
IDA'11 Proceedings of the 10th international conference on Advances in intelligent data analysis X
Architecture for the use of synergies between knowledge engineering and requirements engineering
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
Markov network based ontology matching
Journal of Computer and System Sciences
Natural Language Processing (Almost) from Scratch
The Journal of Machine Learning Research
Adaptive Exact Inference in Graphical Models
The Journal of Machine Learning Research
Substructural neighborhoods for local search in the bayesian optimization algorithm
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
A bayesian network approach to ontology mapping
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
A bayesian network approach to multi-feature based image retrieval
SAMT'06 Proceedings of the First international conference on Semantic and Digital Media Technologies
Relational learning: statistical approach versus logical approach in document image understanding
AI*IA'05 Proceedings of the 9th conference on Advances in Artificial Intelligence
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
Properties of markovian subgraphs of a decomposable graph
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Error bounds between marginal probabilities and beliefs of loopy belief propagation algorithm
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Constructing virtual sensors using probabilistic reasoning
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
A bayesian approach to classify conference papers
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Jeffrey's rule of conditioning in a possibilistic framework
Annals of Mathematics and Artificial Intelligence
Most Relevant Explanation: computational complexity and approximation methods
Annals of Mathematics and Artificial Intelligence
Probabilistic Information Structure of Human Walking
Journal of Medical Systems
Learning-based image restoration for compressed images
Image Communication
Diagnosis of chronic idiopathic inflammatory bowel disease using bayesian networks
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Triangulation of bayesian networks using an adaptive genetic algorithm
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Learning students' learning patterns with support vector machines
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Learning bayesian network equivalence classes from incomplete data
DS'06 Proceedings of the 9th international conference on Discovery Science
Linear time decoding of regular expander codes
Proceedings of the 3rd Innovations in Theoretical Computer Science Conference
Bayesian class-matched multinet classifier
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
EM cluster analysis for categorical data
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Gaining confidence in the software development process using expert systems
SAFECOMP'06 Proceedings of the 25th international conference on Computer Safety, Reliability, and Security
FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
Decomposition of multi-operator queries on semiring-based graphical models
CP'06 Proceedings of the 12th international conference on Principles and Practice of Constraint Programming
Mini-bucket elimination with bucket propagation
CP'06 Proceedings of the 12th international conference on Principles and Practice of Constraint Programming
Bayesian learning of markov network structure
ECML'06 Proceedings of the 17th European conference on Machine Learning
EM algorithm for symmetric causal independence models
ECML'06 Proceedings of the 17th European conference on Machine Learning
A new stereo matching model using visibility constraint based on disparity consistency
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Probability approximation using best-tree distribution for skin detection
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
On iterative compressed sensing reconstruction of sparse non-negative vectors
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
An integrated model for accurate shape alignment
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Fast memory-efficient generalized belief propagation
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Summarizing frequent patterns using profiles
DASFAA'06 Proceedings of the 11th international conference on Database Systems for Advanced Applications
Agent-Based parsimonious decision support paradigm employing bayesian belief networks
DAMAS'05 Proceedings of the 2005 international conference on Defence Applications of Multi-Agent Systems
An architecture for rational agents
DALT'05 Proceedings of the Third international conference on Declarative Agent Languages and Technologies
On/Off switching mechanism in knowledge structure of reticular activating system
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
Bayesian metanetwork for context-sensitive feature relevance
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
New advances in inference by recursive conditioning
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
An empirical study of w-cutset sampling for bayesian networks
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Reasoning about bayesian network classifiers
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Large-sample learning of bayesian networks is NP-hard
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Updating with incomplete observations
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Loopy belief propagation as a basis for communication in sensor networks
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
A simple insight into iterative belief propagation's success
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
The Information bottleneck EM algorithm
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Structure-based causes and explanations in the independent choice logic
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Extending factor graphs so as to unify directed and undirected graphical models
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Phase transition of tractability in constraint satisfaction and bayesian network inference
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Systematic vs. non-systematic algorithms for solving the MPE task
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Efficient inference in large discrete domains
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
An importance sampling algorithm based on evidence pre-propagation
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Strong faithfulness and uniform consistency in causal inference
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
ARCO1: an application of belief networks to the oil market
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
"Conditional inter-causally independent" node distributions, a property of "Noisy-or" models
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Constraint propagation with imprecise conditional probabilities
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Some properties of plausible reasoning
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Theory refinement on Bayesian networks
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
A probabilistic analysis of marker-passing techniques for plan-recognition
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Symbolic probabilistic inference with continuous variables
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Symbolic probabilistic inference with evidence potential
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
A Bayesian method for constructing Bayesian belief networks from databases
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Local expression languages for probabilistic dependence: a preliminary report
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Symbolic decision theory and autonomous systems
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Advances in probabilistic reasoning
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
An approximate nonmyopic computation for value of information
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Time-dependent utility and action under uncertainty
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Non-monotonic reasoning and the reversibility of belief change
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Belief and surprise: a belief-function formulation
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Evidential reasoning in a categorial perspective: conjunction and disjunction of belief functions
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Reasoning under uncertainty: some Monte Carlo results
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Investigation of variances in belief networks
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
A sensitivity analysis of pathfinder: a follow-up study
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Non-monotonic negation in probabilistic deductive databases
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Integrating probabilistic rules into neural networks: a stochastic EM learning algorithm
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Representing Bayesian networks within probabilistic horn abduction
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Dynamic network updating techniques for diagnostic reasoning
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Handling uncertainty during plan recognition in task-oriented consultation systems
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Pulcinella: a general tool for propagating uncertainty in valuation networks
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
On the generation of alternative explanations with implications for belief revision
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
A graph-based inference method for conditional independence
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
A fusion algorithm for solving Bayesian decision problems
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Algorithms for irrelevance-based partial MAPs
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Detecting causal relations in the presence of unmeasured variables
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
A Monte-Carlo algorithm for Dempster-Shafer belief
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Learning causal structures based on markov equivalence class
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
An improved bayesian network learning algorithm based on dependency analysis
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Conditioning graphs: practical structures for inference in bayesian networks
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Argumentation in bayesian belief networks
ArgMAS'04 Proceedings of the First international conference on Argumentation in Multi-Agent Systems
The multi-team formation precursor of teamwork
EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
One backward inference algorithm in bayesian networks
PDCAT'04 Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies
Database security protection via inference detection
ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
Patient modeling using mind mapping representation as a part of nursing care plan
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part IV
Auditors' evidence evaluation and aggregation using beliefs and probabilities
International Journal of Approximate Reasoning
Learning Bayesian network classifiers by risk minimization
International Journal of Approximate Reasoning
Entropy-based efficiency enhancement techniques for evolutionary algorithms
Information Sciences: an International Journal
Pattern Recognition Letters
Expert Systems with Applications: An International Journal
Feature subset selection with cumulate conditional mutual information minimization
Expert Systems with Applications: An International Journal
Perceptually grounded self-diagnosis and self-repair of domain knowledge
Knowledge-Based Systems
A multivariate probabilistic method for comparing two clinical datasets
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Objects relationship modeling for improving object detection using bayesian network integration
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
PFORTE: revising probabilistic FOL theories
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
Probabilistic logic with strong independence
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
Bayesian model combination and its application to cervical cancer detection
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
MTrust: a reputation-based trust model for a mobile agent system
ATC'06 Proceedings of the Third international conference on Autonomic and Trusted Computing
Building graphical model based system in sensor networks
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
Contour matching based on belief propagation
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Liberalizing protocols for argumentation in multi-agent systems
ArgMAS'05 Proceedings of the Second international conference on Argumentation in Multi-Agent Systems
Knowledge acquisition for diagnosis in cellular networks based on bayesian networks
KSEM'06 Proceedings of the First international conference on Knowledge Science, Engineering and Management
Using word clusters to detect similar web documents
KSEM'06 Proceedings of the First international conference on Knowledge Science, Engineering and Management
Learning bayesian networks structure with continuous variables
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
A new polynomial time algorithm for bayesian network structure learning
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Intelligent search on the internet
Reasoning, Action and Interaction in AI Theories and Systems
Finding your friends and following them to where you are
Proceedings of the fifth ACM international conference on Web search and data mining
"Andromaly": a behavioral malware detection framework for android devices
Journal of Intelligent Information Systems
Effective input variable selection for function approximation
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
A bayesian approach to emotion detection in dialogist’s voice for human robot interaction
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
A statistical method for determining importance of variables in an information system
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
EvoApplicatons'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I
Resolution-enhanced photometric stereo
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Oriented visibility for multiview reconstruction
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Knowledge discovery in web-directories: finding term-relations to build a business ontology
EC-Web'05 Proceedings of the 6th international conference on E-Commerce and Web Technologies
The computational complexity of inference using rough set flow graphs
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
On the complexity of probabilistic inference in singly connected bayesian networks
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Bayesian network learning with abstraction hierarchies and context-specific independence
ECML'05 Proceedings of the 16th European conference on Machine Learning
Articulated body tracking using dynamic belief propagation
ICCV'05 Proceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction
Probabilistic inference strategy in distributed intrusion detection systems
ISPA'04 Proceedings of the Second international conference on Parallel and Distributed Processing and Applications
Bayesian networks in software maintenance management
SOFSEM'05 Proceedings of the 31st international conference on Theory and Practice of Computer Science
On belief propagation guided decimation for random k-SAT
Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete Algorithms
Continuous body and hand gesture recognition for natural human-computer interaction
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special Issue on Affective Interaction in Natural Environments
iSAM2: Incremental smoothing and mapping using the Bayes tree
International Journal of Robotics Research
Towards a fuzzy description logic for the semantic web (preliminary report)
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Using dempster-shafer theory in MCF systems to reject samples
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
Modeling suppositions in users' arguments
UM'05 Proceedings of the 10th international conference on User Modeling
Using learner focus of attention to detect learner motivation factors
UM'05 Proceedings of the 10th international conference on User Modeling
Player modeling impact on player's entertainment in computer games
UM'05 Proceedings of the 10th international conference on User Modeling
Modeling context as statistical dependence
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
Automatic knowledge configuration by reticular activating system
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Simultaneous localization and surveying with multiple agents
Switching and Learning in Feedback Systems
Unsupervised learning of visual feature hierarchies
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Probabilistic abstraction of uncertain temporal data for multiple subjects
SARA'05 Proceedings of the 6th international conference on Abstraction, Reformulation and Approximation
Decision making with uncertainty and data mining
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
One dependence augmented naive bayes
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
Knowledge-Based operations for graphical models in planning
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Abductive inference in bayesian networks: finding a partition of the explanation space
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Alert systems for production plants: a methodology based on conflict analysis
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Probabilistic graphical models for the diagnosis of analog electrical circuits
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Discriminative learning of bayesian network classifiers via the TM algorithm
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Constrained score+(local)search methods for learning bayesian networks
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
On the use of restrictions for learning bayesian networks
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Racing for conditional independence inference
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Causality, simpson's paradox, and context-specific independence
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
A qualitative characterisation of causal independence models using boolean polynomials
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Unifying logical and probabilistic reasoning
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Methods to determine the branching attribute in bayesian multinets classifiers
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Review: learning bayesian networks: Approaches and issues
The Knowledge Engineering Review
Towards a probabilistic model for lexical entailment
TIWTE '11 Proceedings of the TextInfer 2011 Workshop on Textual Entailment
Improving mining quality by exploiting data dependency
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
An anti-noise text categorization method based on support vector machines
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
Computerized adaptive tests and item response theory on a distance education platform
IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
Bayesian networks learning for gene expression datasets
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
Bayesian network classifiers for time-series microarray data
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
MCMC Bayesian inference for heart sounds screening in assistive environments
Proceedings of the 4th International Conference on PErvasive Technologies Related to Assistive Environments
Expert Systems with Applications: An International Journal
Bayesian inference driven behavior network architecture for avoiding moving obstacles
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Design of a digital forensics image mining system
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Activity-Object bayesian networks for detecting occluded objects in uncertain indoor environment
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
EventNet: inferring temporal relations between commonsense events
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
A semi-open learning environment for virtual laboratories
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
The IMAP hybrid method for learning gaussian bayes nets
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Semi-supervised probability propagation on instance-attribute graphs
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
A survey on statistical relational learning
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Diagnosis from bayesian networks with fuzzy parameters – a case in supply chains
GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing
Negation elimination for finite PCFGs
LOPSTR'04 Proceedings of the 14th international conference on Logic Based Program Synthesis and Transformation
Object recognition via local patch labelling
Proceedings of the First international conference on Deterministic and Statistical Methods in Machine Learning
Training a log-linear parser with loss functions via softmax-margin
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
A method of recognizing entity and relation
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
A learning-based algorithm selection meta-reasoner for the real-time MPE problem
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Improving the presentation of argument interpretations based on user trials
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
An ACO algorithm for the most probable explanation problem
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Parameterising bayesian networks
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
On the role of the markov condition in causal reasoning
AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
Incorporating evidence in bayesian networks with the select operator
AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
Dynamic bayesian networks for language modeling
TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue
A probe prediction approach to overlay network monitoring
Proceedings of the 7th International Conference on Network and Services Management
A two-way multi-dimensional mixture model for clustering metagenomic sequences
Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine
Probabilistic ensembles for improved inference in protein-structure determination
Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine
Using bayesian networks for modeling students' learning bugs and sub-skills
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Incremental signaling pathway modeling by data integration
RECOMB'10 Proceedings of the 14th Annual international conference on Research in Computational Molecular Biology
Predicting nucleosome positioning using multiple evidence tracks
RECOMB'10 Proceedings of the 14th Annual international conference on Research in Computational Molecular Biology
A dynamic bayesian network based structural learning towards automated handwritten digit recognition
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Efficient peer-to-peer belief propagation
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
DBN-based structural learning and optimisation for automated handwritten character recognition
Pattern Recognition Letters
An integrated risk measurement and optimization model for trustworthy software process management
Information Sciences: an International Journal
The factor graph network model for biological systems
RECOMB'05 Proceedings of the 9th Annual international conference on Research in Computational Molecular Biology
Probabilistic abstraction of multiple longitudinal electronic medical records
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
Deriving a stationary dynamic bayesian network from a logic program with recursive loops
ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming
Issues and requirements for bayesian approaches in context aware systems
LoCA'05 Proceedings of the First international conference on Location- and Context-Awareness
Color correction of underwater images for aquatic robot inspection
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Deformable-Model based textured object segmentation
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Linear programming matching and appearance-adaptive object tracking
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Object categorization by compositional graphical models
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Using previous models to bias structural learning in the hierarchical boa
Evolutionary Computation
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning
Graphical data displays and database queries: helping users select the right display for the task
SG'05 Proceedings of the 5th international conference on Smart Graphics
Picturing causality – the serendipitous semiotics of causal graphs
SG'05 Proceedings of the 5th international conference on Smart Graphics
Ranking gene regulatory network models with microarray data and bayesian network
CASDMKM'04 Proceedings of the 2004 Chinese academy of sciences conference on Data Mining and Knowledge Management
Graph-based term weighting for information retrieval
Information Retrieval
Properties of Bayesian student model for INQPRO
Applied Intelligence
Generalizing inference rules in a coherence-based probabilistic default reasoning
International Journal of Approximate Reasoning
The logic of risky knowledge, reprised
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
Reference classes and relational learning
International Journal of Approximate Reasoning
Revising beliefs on the basis of evidence
International Journal of Approximate Reasoning
Temporal context lie detection and generation
SDM'06 Proceedings of the Third VLDB international conference on Secure Data Management
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
Stereo matching and 3-d reconstruction for optic disk images
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
Coupling bayesian networks with GIS-Based cellular automata for modeling land use change
GIScience'06 Proceedings of the 4th international conference on Geographic Information Science
Structured context prediction: a generic approach
DAIS'10 Proceedings of the 10th IFIP WG 6.1 international conference on Distributed Applications and Interoperable Systems
Complete convergence of message passing algorithms for some satisfiability problems
APPROX'06/RANDOM'06 Proceedings of the 9th international conference on Approximation Algorithms for Combinatorial Optimization Problems, and 10th international conference on Randomization and Computation
Characterizing propagation methods for boolean satisfiability
SAT'06 Proceedings of the 9th international conference on Theory and Applications of Satisfiability Testing
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
Iterative bayesian network implementation by using annotated association rules
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
Graphical models for text-independent speaker verification
Nonlinear Speech Modeling and Applications
An efficient algorithm for inference in rough set flow graphs
Transactions on Rough Sets V
Comparison of energy minimization algorithms for highly connected graphs
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
A comparative study of energy minimization methods for markov random fields
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
A statistical mechanics approach to trust management in autonomic networks
International Journal of Systems, Control and Communications
Characterisations of multivalued dependency implication over undetermined universes
Journal of Computer and System Sciences
A search problem in complex diagnostic Bayesian networks
Knowledge-Based Systems
Automated interviews on clinical case reports to elicit directed acyclic graphs
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
A latent model for collaborative filtering
International Journal of Approximate Reasoning
COCOMO-U: an extension of COCOMO II for cost estimation with uncertainty
SPW/ProSim'06 Proceedings of the 2006 international conference on Software Process Simulation and Modeling
Modeling causal reinforcement and undermining with Noisy-AND trees
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
An improved LAZY-AR approach to bayesian network inference
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
Exploiting dynamic independence in a static conditioning graph
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
Learning bayesian networks in semi-deterministic systems
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
Learning naïve bayes tree for conditional probability estimation
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
Learning naive bayes for probability estimation by feature selection
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
Lazy averaged one-dependence estimators
AI'06 Proceedings of the 19th international conference on Advances in Artificial Intelligence: Canadian Society for Computational Studies of Intelligence
Communicative signals as the key to automated understanding of simple bar charts
Diagrams'06 Proceedings of the 4th international conference on Diagrammatic Representation and Inference
Evaluation of ERST – an external representation selection tutor
Diagrams'06 Proceedings of the 4th international conference on Diagrammatic Representation and Inference
A decision-theoretic approach to scientific inquiry exploratory learning environment
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Conceptual change modeling using dynamic bayesian network
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
A comparison of decision-theoretic, fixed-policy and random tutorial action selection
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Student modeling with atomic bayesian networks
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
A taxonomy and representation of sources of uncertainty in active systems
NGITS'06 Proceedings of the 6th international conference on Next Generation Information Technologies and Systems
Auditing and inference control for privacy preservation in uncertain environments
EuroSSC'06 Proceedings of the First European conference on Smart Sensing and Context
A simple message passing algorithm for graph partitioning problems
ISAAC'06 Proceedings of the 17th international conference on Algorithms and Computation
Extracting qualitative knowledge from medical guidelines for clinical decision-support systems
KR4HC'09 Proceedings of the 2009 AIME international conference on Knowledge Representation for Health-Care: data, Processes and Guidelines
Automated reasoning for relational probabilistic knowledge representation
IJCAR'10 Proceedings of the 5th international conference on Automated Reasoning
Relax, compensate and then recover
JSAI-isAI'10 Proceedings of the 2010 international conference on New Frontiers in Artificial Intelligence
Searching optimal bayesian network structure on constraint search space: super-structure approach
JSAI-isAI'10 Proceedings of the 2010 international conference on New Frontiers in Artificial Intelligence
The role of operation granularity in search-based learning of latent tree models
JSAI-isAI'10 Proceedings of the 2010 international conference on New Frontiers in Artificial Intelligence
Evaluating probabilistic models learned from data
MICAI'11 Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II
Global optimization with the gaussian polytree EDA
MICAI'11 Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II
Learning probabilistic description logics: a framework and algorithms
MICAI'11 Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Acceptance, conditionals, and belief revision
WCII'02 Proceedings of the 2002 international conference on Conditionals, Information, and Inference
Conditional independences in gaussian vectors and rings of polynomials
WCII'02 Proceedings of the 2002 international conference on Conditionals, Information, and Inference
Looking at probabilistic conditionals from an institutional point of view
WCII'02 Proceedings of the 2002 international conference on Conditionals, Information, and Inference
Completing incomplete bayesian networks
WCII'02 Proceedings of the 2002 international conference on Conditionals, Information, and Inference
Learning regulatory network models that represent regulator states and roles
RRG'04 Proceedings of the 2004 RECOMB international conference on Regulatory Genomics
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
A model for information retrieval based on possibilistic networks
SPIRE'05 Proceedings of the 12th international conference on String Processing and Information Retrieval
Toward exploiting location-based and video information in negotiated access control policies
ICISS'05 Proceedings of the First international conference on Information Systems Security
WILF'05 Proceedings of the 6th international conference on Fuzzy Logic and Applications
Learning causal bayesian networks from observations and experiments: a decision theoretic approach
MDAI'06 Proceedings of the Third international conference on Modeling Decisions for Artificial Intelligence
Simultaneous decision networks with multiple objectives as support for strategic planning
MDAI'06 Proceedings of the Third international conference on Modeling Decisions for Artificial Intelligence
Parallelization of Belief Propagation on Cell Processors for Stereo Vision
ACM Transactions on Embedded Computing Systems (TECS)
Recursive sum-product algorithm for generalized outer-planar graphs
Information Processing Letters
Data mining in inductive databases
KDID'05 Proceedings of the 4th international conference on Knowledge Discovery in Inductive Databases
Learning form experience: a bayesian network based reinforcement learning approach
ICICA'11 Proceedings of the Second international conference on Information Computing and Applications
Modeling people and places with internet photo collections
Communications of the ACM
Hierarchical pose estimation for human gait analysis
Computer Methods and Programs in Biomedicine
Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas
Engineering Applications of Artificial Intelligence
Representing belief function knowledge with graphical models
KSEM'11 Proceedings of the 5th international conference on Knowledge Science, Engineering and Management
Multi-assignment clustering for boolean data
The Journal of Machine Learning Research
Learning algorithms for the classification restricted Boltzmann machine
The Journal of Machine Learning Research
Gibbs sampling with deterministic dependencies
MIWAI'11 Proceedings of the 5th international conference on Multi-Disciplinary Trends in Artificial Intelligence
Importance sampling-based estimation over AND/OR search spaces for graphical models
Artificial Intelligence
Motion-aided network SLAM with range
International Journal of Robotics Research
Appropriate inferences of data dependencies in relational databases
Annals of Mathematics and Artificial Intelligence
Mining Bayesian networks out of ontologies
Journal of Intelligent Information Systems
Extracting multiple news attributes based on visual features
Journal of Intelligent Information Systems
Multi-label Moves for MRFs with Truncated Convex Priors
International Journal of Computer Vision
Bayesian network automata for modelling unbounded structures
IWPT '11 Proceedings of the 12th International Conference on Parsing Technologies
Assessing the likelihood of realizing idealized goals: The case of urban water strategies
Environmental Modelling & Software
Most relevant explanation in Bayesian networks
Journal of Artificial Intelligence Research
Finding consensus Bayesian network structures
Journal of Artificial Intelligence Research
Exploring many-core design templates for FPGAs and ASICs
International Journal of Reconfigurable Computing - Special issue on Selected Papers from the International Conference on Reconfigurable Computing and FPGAs (ReConFig'10)
A model-based approach to attributed graph clustering
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
Sensor9k: A testbed for designing and experimenting with WSN-based ambient intelligence applications
Pervasive and Mobile Computing
Building an expert-based web effort estimation model using bayesian networks
EASE'09 Proceedings of the 13th international conference on Evaluation and Assessment in Software Engineering
Predicting web development effort using a bayesian network
EASE'07 Proceedings of the 11th international conference on Evaluation and Assessment in Software Engineering
The relationship between IR and multimedia databases
IRSG'98 Proceedings of the 20th Annual BCS-IRSG conference on Information Retrieval Research
Using abductive inference and dynamic indexing to retrieve multimedia SGML documents
MIRO'95 Proceedings of the Final conference on Multimedia Information Retrieval
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Bayesian learning for cardiac SPECT image interpretation
Artificial Intelligence in Medicine
A Bayesian expert system for the analysis of an adverse drug reaction
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
From certainty factors to belief networks
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Editorial: Bayesian networks in biomedicine and health-care
Artificial Intelligence in Medicine
Understanding tuberculosis epidemiology using structured statistical models
Artificial Intelligence in Medicine
Using literature and data to learn Bayesian networks as clinical models of ovarian tumors
Artificial Intelligence in Medicine
Book review: Knowledge Engineering and Management: The CommonKADS Methodology
Artificial Intelligence in Medicine
Paper: Graphical knowledge acquisition for medical diagnostic expert systems
Artificial Intelligence in Medicine
Paper: Specification of models in large expert systems based on causal probabilistic networks
Artificial Intelligence in Medicine
Cerebral modeling and dynamic Bayesian networks
Artificial Intelligence in Medicine
Planning of therapy and tests in causal probabilistic networks
Artificial Intelligence in Medicine
Bayesian networks for patient monitoring
Artificial Intelligence in Medicine
Paper: Multiply sectioned Bayesian networks for neuromuscular diagnosis
Artificial Intelligence in Medicine
Paper: A tutorial introduction to stochastic simulation algorithms for belief networks
Artificial Intelligence in Medicine
Paper: Computing the confidence in a medical decision obtained from an influence diagram
Artificial Intelligence in Medicine
Editorial: Probabilistic and decision-theoretic systems in medicine
Artificial Intelligence in Medicine
A hierarchical Bayesian framework for multimodal active perception
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
FIST: fast interactive segmentation of tumors
MICCAI'11 Proceedings of the Third international conference on Abdominal Imaging: computational and Clinical Applications
Probabilistic argumentation frameworks
TAFA'11 Proceedings of the First international conference on Theory and Applications of Formal Argumentation
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part III
Solving ramified optimal transport problem in the bayesian influence diagram framework
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
Data association based on optimization in graphical models with application to sensor networks
Mathematical and Computer Modelling: An International Journal
Importance sampling algorithms for Bayesian networks: Principles and performance
Mathematical and Computer Modelling: An International Journal
Bipartite graph structures for efficient balancing of heterogeneous loads
Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems
From Reliability Block Diagrams to Fault Tree Circuits
Decision Analysis
On the tractability of query compilation and bounded treewidth
Proceedings of the 15th International Conference on Database Theory
KEMNAD: A Knowledge Engineering Methodology For Negotiating Agent Development
Computational Intelligence
An efficient Monte-Carlo algorithm for pricing combinatorial prediction markets for tournaments
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
Generalising the interaction rules in probabilistic logic
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Multi-evidence lifted message passing, with application to PageRank and the Kalman filter
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Generative structure learning for Markov logic networks based on graph of predicates
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
New complexity results for MAP in Bayesian networks
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Learning 3D geological structure from drill-rig sensors for automated mining
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Bayesian abductive logic programs: a probabilistic logic for abductive reasoning
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Rethinking cognitive architecture via graphical models
Cognitive Systems Research
Journal of Biomedical Informatics
Journal of Biomedical Informatics
Segmentation of objects in a detection window by Nonparametric Inhomogeneous CRFs
Computer Vision and Image Understanding
3D Scene interpretation by combining probability theory and logic: The tower of knowledge
Computer Vision and Image Understanding
Artificial Intelligence in Medicine
Guides for hypertext: an overview
Artificial Intelligence in Medicine
A Markovianity based optimisation algorithm
Genetic Programming and Evolvable Machines
Availability of enterprise IT systems: an expert-based Bayesian framework
Software Quality Control
Inference in possibilistic network classifiers under uncertain observations
Annals of Mathematics and Artificial Intelligence
Qualitative and quantitative conditions for the transitivity of perceived causation
Annals of Mathematics and Artificial Intelligence
Joint estimation of confidence and error causes in speech recognition
Speech Communication
Supercharging recommender systems using taxonomies for learning user purchase behavior
Proceedings of the VLDB Endowment
Proceedings of the 34th International Conference on Software Engineering
Discriminative Appearance Models for Pictorial Structures
International Journal of Computer Vision
Structured probabilistic inference
International Journal of Approximate Reasoning
Non-impeding noisy-AND tree causal models over multi-valued variables
International Journal of Approximate Reasoning
Crowd IQ: aggregating opinions to boost performance
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Foundations and Trends in Information Retrieval
Detecting dependencies in an anonymized dataset
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Intelligent tutoring systems: a new proposed structure
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Proceedings of the 2012 Symposium on Theory of Modeling and Simulation - DEVS Integrative M&S Symposium
Anytime AND/OR depth-first search for combinatorial optimization
AI Communications - The Symposium on Combinatorial Search
Participatory technologies for designing ambient intelligence systems
Journal of Ambient Intelligence and Smart Environments
Accelerating Bayesian network parameter learning using Hadoop and MapReduce
Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
Analysis of Markov Boundary Induction in Bayesian Networks: A New View From Matroid Theory
Fundamenta Informaticae
Distributed robotic sensor networks: An information-theoretic approach
International Journal of Robotics Research
AITION: a scalable platform for interactive data mining
SSDBM'12 Proceedings of the 24th international conference on Scientific and Statistical Database Management
Ad insertion in automatically composed documents
Proceedings of the 2012 ACM symposium on Document engineering
On Inferences ofWeak Multivalued Dependencies
Fundamenta Informaticae
A feature selection algorithm based on approximate markov blanket and dynamic mutual information
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Learning compact markov logic networks with decision trees
ILP'11 Proceedings of the 21st international conference on Inductive Logic Programming
Learning theories using estimation distribution algorithms and (reduced) bottom clauses
ILP'11 Proceedings of the 21st international conference on Inductive Logic Programming
From information networks to bisociative information networks
Bisociative Knowledge Discovery
DressUp!: outfit synthesis through automatic optimization
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Fundamenta Informaticae - Progress on Multi-Relational Data Mining
Local characterizations of causal bayesian networks
GKR'11 Proceedings of the Second international conference on Graph Structures for Knowledge Representation and Reasoning
Bucket and mini-bucket schemes for m best solutions over graphical models
GKR'11 Proceedings of the Second international conference on Graph Structures for Knowledge Representation and Reasoning
Applications of belief propagation in CSMA wireless networks
IEEE/ACM Transactions on Networking (TON)
A Property of Independency Relations Induced by Probabilistic Distributions with Binary Variables
Fundamenta Informaticae - SPECIAL ISSUE ON TRAJECTORIES OF LANGUAGE THEORY Dedicated to the memory of Alexandru Mateescu
A proposed validation framework for expert elicited Bayesian Networks
Expert Systems with Applications: An International Journal
Reasoning and Learning in Extended Structured Bayesian Networks
Fundamenta Informaticae
A New Bayesian Tree Learning Method with Reduced Time and Space Complexity
Fundamenta Informaticae
Fundamenta Informaticae
Representation of Irrelevance Relations by Annotated Graphs
Fundamenta Informaticae
A Bayesian stochastic search method for discovering Markov boundaries
Knowledge-Based Systems
Combining link and content-based information in a Bayesian inference model for entity search
Proceedings of the 1st Joint International Workshop on Entity-Oriented and Semantic Search
User-driven relational models for entity-relation search and extraction
Proceedings of the 1st Joint International Workshop on Entity-Oriented and Semantic Search
Reasoning and Facts Explanation in Valuation Based Systems
Fundamenta Informaticae
Qualifying Answers According to User Needs and Preferences
Fundamenta Informaticae
AN ALGEBRAIC FORMALIZATION OF THE RELATIONSHIP BETWEEN EVIDENTIAL STRUCTURES AND DATA TABLES
Fundamenta Informaticae
An unsupervised dynamic Bayesian network approach to measuring speech style accommodation
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Recognizing Inference in Texts with Markov Logic Networks
ACM Transactions on Asian Language Information Processing (TALIP) - Special Issue on RITE
Context Hypothesization Using Probabilistic Knowledge
Fundamenta Informaticae
A Bayesian network for burr detection in the drilling process
Journal of Intelligent Manufacturing
Probabilistic network models for word sense disambiguation
SENSEVAL '01 The Proceedings of the Second International Workshop on Evaluating Word Sense Disambiguation Systems
A probabilistic lexical model for ranking textual inferences
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
Argument formation in the reasoning process: toward a generic model of deception detection
EACL 2012 Proceedings of the Workshop on Computational Approaches to Deception Detection
Learning to "read between the lines" using Bayesian logic programs
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
The computational complexity of monotonicity in probabilistic networks
FCT'07 Proceedings of the 16th international conference on Fundamentals of Computation Theory
Face authentication with salient local features and static Bayesian network
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Composing globally consistent pathway parameter estimates through belief propagation
WABI'07 Proceedings of the 7th international conference on Algorithms in Bioinformatics
DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery
Combining static/dynamic fault trees and event trees using Bayesian networks
SAFECOMP'07 Proceedings of the 26th international conference on Computer Safety, Reliability, and Security
SAFECOMP'07 Proceedings of the 26th international conference on Computer Safety, Reliability, and Security
A unified probabilistic approach to referring expressions
SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Active/inactive emotional switching for thinking chain extraction by type matching from RAS
LSMS'07 Proceedings of the 2007 international conference on Life System Modeling and Simulation
An algebraic-numeric algorithm for the model selection in kinetic networks
CASC'07 Proceedings of the 10th international conference on Computer Algebra in Scientific Computing
Conservative independence-based causal structure learning in absence of adjacency faithfulness
International Journal of Approximate Reasoning
Characteristic imsets for learning Bayesian network structure
International Journal of Approximate Reasoning
Learning recursive probability trees from probabilistic potentials
International Journal of Approximate Reasoning
Efficient sensitivity analysis in hidden markov models
International Journal of Approximate Reasoning
Divergence-based feature selection for separate classes
Neurocomputing
The nautilus analyzer: understanding and debugging data transformations
Proceedings of the 21st ACM international conference on Information and knowledge management
Using site-level connections to estimate link confidence
Journal of the American Society for Information Science and Technology
Semi-supervised Mesh Segmentation and Labeling
Computer Graphics Forum
Continuous time Bayesian network classifiers
Journal of Biomedical Informatics
Model-based clustering of high-dimensional data: Variable selection versus facet determination
International Journal of Approximate Reasoning
Reading dependencies from covariance graphs
International Journal of Approximate Reasoning
Information Sciences: an International Journal
Dynamic programming for approximate expansion algorithm
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Visual dictionary learning for joint object categorization and segmentation
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
The lazy flipper: efficient depth-limited exhaustive search in discrete graphical models
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
Learning to detect cells using non-overlapping extremal regions
MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
SUM'12 Proceedings of the 6th international conference on Scalable Uncertainty Management
SUM'12 Proceedings of the 6th international conference on Scalable Uncertainty Management
Probabilistic conditional independence under schema certainty and uncertainty
SUM'12 Proceedings of the 6th international conference on Scalable Uncertainty Management
An experimental comparison of hybrid algorithms for bayesian network structure learning
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Bayesian network classifiers with reduced precision parameters
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Combining subjective probabilities and data in training markov logic networks
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Transactions on Large-Scale Data- and Knowledge-Centered Systems VI
Probabilistic inference and monadic second order logic
TCS'12 Proceedings of the 7th IFIP TC 1/WG 202 international conference on Theoretical Computer Science
X-Class: Associative Classification of XML Documents by Structure
ACM Transactions on Information Systems (TOIS)
Incremental learning by message passing in hierarchical temporal memory
ANNPR'12 Proceedings of the 5th INNS IAPR TC 3 GIRPR conference on Artificial Neural Networks in Pattern Recognition
Pruning GP-Based classifier ensembles by bayesian networks
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
A bayesian approach for on-line sum/count/max/min auditing on boolean data
PSD'12 Proceedings of the 2012 international conference on Privacy in Statistical Databases
Linear coordinate-descent message passing for quadratic optimization
Neural Computation
Efficient probe selection for fault localization using the property of submodularity
International Journal of Communication Systems
Multiclass classification of distributed memory parallel computations
Pattern Recognition Letters
New skeleton-based approaches for Bayesian structure learning of Bayesian networks
Applied Soft Computing
A non-local MRF model for heritage architectural image completion
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Clustering with uncertainties: an affinity propagation-based approach
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
Automatic image tagging using two-layered Bayesian networks and mobile data from smart phones
Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia
Score-based methods for learning Markov boundaries by searching in constrained spaces
Data Mining and Knowledge Discovery
Virtual equipment for benchmarking predictive maintenance algorithms
Proceedings of the Winter Simulation Conference
Model-based adaptive spatial sampling for occurrence map construction
Statistics and Computing
Representations for multi-document event clustering
Data Mining and Knowledge Discovery
Multiple input and multiple output simulation metamodeling using Bayesian networks
Proceedings of the Winter Simulation Conference
Corpus-based intention recognition in cooperation dilemmas
Artificial Life
Simulation metamodeling in continuous time using dynamic Bayesian networks
Proceedings of the Winter Simulation Conference
Expert Systems with Applications: An International Journal
Beyond Independence: An Extension of the A Contrario Decision Procedure
International Journal of Computer Vision
Probabilistic model-based assessment of information quality in uncertain domains
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Causal discovery of dynamic bayesian networks
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
The problem of finding the sparsest bayesian network for an input data set is NP-Hard
ISMIS'12 Proceedings of the 20th international conference on Foundations of Intelligent Systems
A framework for the design and synthesis of coordinated social systems
SocInfo'12 Proceedings of the 4th international conference on Social Informatics
Noisy reasoners: errors of judgement in humans and AIs
AGI'12 Proceedings of the 5th international conference on Artificial General Intelligence
Transparent neural networks: integrating concept formation and reasoning
AGI'12 Proceedings of the 5th international conference on Artificial General Intelligence
Fuzzy-Probabilistic logic for common sense
AGI'12 Proceedings of the 5th international conference on Artificial General Intelligence
Attention Based Detection and Recognition of Hand Postures Against Complex Backgrounds
International Journal of Computer Vision
The construction of causal networks to estimate coral bleaching intensity
Environmental Modelling & Software
Journal of Artificial Intelligence Research
Efficient Loss Inference Algorithm Using Unicast End-to-End Measurements
Journal of Network and Systems Management
Extending and formalizing bayesian networks by strong relevant logic
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part I
Automated trading in prediction markets
SBP'13 Proceedings of the 6th international conference on Social Computing, Behavioral-Cultural Modeling and Prediction
Exploiting user model diversity in forecast aggregation
SBP'13 Proceedings of the 6th international conference on Social Computing, Behavioral-Cultural Modeling and Prediction
Evolving hierarchical temporal memory-based trading models
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
Exploiting and Evaluating MapReduce for Large-Scale Graph Mining
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Hidden Source Behavior Change Tracking and Detection
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
Task-oriented navigation algorithms for an outdoor environment with colored borders and obstacles
Intelligent Service Robotics
Reducing the size of databases for multirelational classification: a subgraph-based approach
Journal of Intelligent Information Systems
Model of conceptual change for INQPRO: A Bayesian Network approach
Computers & Education
Bayesian network analysis for the dynamic prediction of early stage entrepreneurial activity index
Expert Systems with Applications: An International Journal
Review: Student modeling approaches: A literature review for the last decade
Expert Systems with Applications: An International Journal
Towards high-throughput gibbs sampling at scale: a study across storage managers
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
Leveraging graphical models to improve accuracy and reduce privacy risks of mobile sensing
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
HDM-Analyser: a hybrid analysis approach based on data mining techniques for malware detection
Journal in Computer Virology
Multilevel Bayesian networks for the analysis of hierarchical health care data
Artificial Intelligence in Medicine
Discovering human immunodeficiency virus mutational pathways using temporal Bayesian networks
Artificial Intelligence in Medicine
Impact of precision of Bayesian network parameters on accuracy of medical diagnostic systems
Artificial Intelligence in Medicine
Identifying significant edges in graphical models of molecular networks
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Image registration using BP-SIFT
Journal of Visual Communication and Image Representation
Supporting decision-making for self-adaptive systems: from goal models to dynamic decision networks
REFSQ'13 Proceedings of the 19th international conference on Requirements Engineering: Foundation for Software Quality
Utility-driven evolution recommender for a constrained ontology
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
Environmental Modelling & Software
Parallel Abductive Query Answering in Probabilistic Logic Programs
ACM Transactions on Computational Logic (TOCL)
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Grouping active contour fragments for object recognition
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Cross image inference scheme for stereo matching
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
Nail-it-down: nailing and fixing configuration faults in cloud environments
Proceedings of the ACM International Conference on Computing Frontiers
Improving naive Bayes classifier using conditional probabilities
AusDM '11 Proceedings of the Ninth Australasian Data Mining Conference - Volume 121
Extracting query facets from search results
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Dynamic decision networks for decision-making in self-adaptive systems: a case study
Proceedings of the 8th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
Unsupervised link prediction using aggregative statistics on heterogeneous social networks
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Bayesian Inference in Trust Networks
ACM Transactions on Management Information Systems (TMIS)
Bayesian inference using data flow analysis
Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering
Inference of the Genetic Network Regulating Lateral Root Initiation in Arabidopsis thaliana
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Linear-time decoding of regular expander codes
ACM Transactions on Computation Theory (TOCT) - Special issue on innovations in theoretical computer science 2012
Hierarchical probabilistic model for news composition
Proceedings of the 2013 ACM symposium on Document engineering
Active learning and inference method for within network classification
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Signal detection in genome sequences using complexity based features
Proceedings of the 12th International Workshop on Data Mining in Bioinformatics
A probabilistic graphical model approach to stochastic multiscale partial differential equations
Journal of Computational Physics
Algorithms for discovery of multiple Markov boundaries
The Journal of Machine Learning Research
High-dimensional Gaussian graphical model selection: walk summability and local separation criterion
The Journal of Machine Learning Research
An automatic blocking strategy for XML duplicate detection
ACM SIGAPP Applied Computing Review
Policy making for broadband adoption and usage in Chile through machine learning
Expert Systems with Applications: An International Journal
Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Addressing the concerns of the lacks family: quantification of kin genomic privacy
Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security
Automated reasoning, fast and slow
CADE'13 Proceedings of the 24th international conference on Automated Deduction
Imputation for categorical attributes with probabilistic reasoning
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
A comparative study of compilation-based inference methods for min-based possibilistic networks
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Qualitative combination of independence models
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
On semantics of inference in bayesian networks
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Evaluating asymmetric decision problems with binary constraint trees
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Structure approximation of most probable explanations in bayesian networks
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
On the tree structure used by lazy propagation for inference in bayesian networks
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Sorted-Pareto dominance and qualitative notions of optimality
ECSQARU'13 Proceedings of the 12th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
New propagation algorithm in dynamic directed evidential networks with conditional belief functions
IUKM'13 Proceedings of the 2013 international conference on Integrated Uncertainty in Knowledge Modelling and Decision Making
Classifying the socio-situational settings of transcripts of spoken discourses
Speech Communication
Viscosity virtual sensor to control combustion in fossil fuel power plants
Engineering Applications of Artificial Intelligence
Computer Vision and Image Understanding
Optimising retrieval phase in CBR through Pearl and JLO algorithms for medical diagnosis
International Journal of Advanced Intelligence Paradigms
A cognitive architecture based on dual process theory
AGI'13 Proceedings of the 6th international conference on Artificial General Intelligence
Natural language processing by reasoning and learning
AGI'13 Proceedings of the 6th international conference on Artificial General Intelligence
Fusion of parametric and non-parametric approaches to noise-robust ASR
Speech Communication
On coinductive equivalences for higher-order probabilistic functional programs
Proceedings of the 41st ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages
International Journal of Approximate Reasoning
Energy distribution view for monotonic dual decomposition
International Journal of Approximate Reasoning
Towards making autotuning mainstream
International Journal of High Performance Computing Applications
Engineering Applications of Artificial Intelligence
Construction of a new BRB based model for time series forecasting
Applied Soft Computing
Computer Methods and Programs in Biomedicine
Predicting the size of depth-first branch and bound search trees
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Semiring-based mini-bucket partitioning schemes
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Reasoning about continuous uncertainty in the situation calculus
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Interpolative reasoning with default rules
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Adaptive thresholding in structure learning of a Bayesian network
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Annealed importance sampling for structure learning in Bayesian networks
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Multi-dimensional causal discovery
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Misleading opinions provided by advisors: dishonesty or subjectivity
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Probabilistic reasoning with undefined properties in ontologically-based belief networks
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Inference for a new probabilistic constraint logic
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Aggregation and ordering in factorised databases
Proceedings of the VLDB Endowment
Maintaining the health of software monitors
Innovations in Systems and Software Engineering
Software health management with Bayesian networks
Innovations in Systems and Software Engineering
Optimal ordering of independent tests with precedence constraints
Discrete Applied Mathematics
Probabilistic risk assessment of tunneling-induced damage to existing properties
Expert Systems with Applications: An International Journal
Bayesian network modeling of Port State Control inspection findings and ship accident involvement
Expert Systems with Applications: An International Journal
A generic framework for a compilation-based inference in probabilistic and possibilistic networks
Information Sciences: an International Journal
Unsupervised online learning for long-term autonomy
International Journal of Robotics Research
Adaptive generalized crowding for genetic algorithms
Information Sciences: an International Journal
Using Bayesian networks for selecting classifiers in GP ensembles
Information Sciences: an International Journal
Software project risk analysis using Bayesian networks with causality constraints
Decision Support Systems
Domains of competence of the semi-naive Bayesian network classifiers
Information Sciences: an International Journal
A survey on latent tree models and applications
Journal of Artificial Intelligence Research
Semantic and structural delineation of market scenarios by the event bush method
Decision Support Systems
Sensitivity to hyperprior parameters in Gaussian Bayesian networks
Journal of Multivariate Analysis
Sub-local constraint-based learning of Bayesian networks using a joint dependence criterion
The Journal of Machine Learning Research
Approximating the permanent with fractional belief propagation
The Journal of Machine Learning Research
Training energy-based models for time-series imputation
The Journal of Machine Learning Research
Variational algorithms for marginal MAP
The Journal of Machine Learning Research
International Journal of Approximate Reasoning
Model Similarity and Rank-Order Based Classification of Bayesian Networks
Journal of Classification
Cybernetics and Systems Analysis
A Comprehensive Survey to Face Hallucination
International Journal of Computer Vision
Query answering under probabilistic uncertainty in Datalog+ / - ontologies
Annals of Mathematics and Artificial Intelligence
A PC algorithm variation for ordinal variables
Computational Statistics
Machine Vision and Applications
An efficient node ordering method using the conditional frequency for the K2 algorithm
Pattern Recognition Letters
From machine learning to machine reasoning
Machine Learning
Data Parallel Implementation of Belief Propagation in Factor Graphs on Multi-core Platforms
International Journal of Parallel Programming
Web Intelligence and Agent Systems
Aggregating vulnerability metrics in enterprise networks using attack graphs
Journal of Computer Security
Learning optimal bayesian networks: a shortest path perspective
Journal of Artificial Intelligence Research
Object-object interaction affordance learning
Robotics and Autonomous Systems
A tour of machine learning: An AI perspective
AI Communications - ECAI 2012 Turing and Anniversary Track
Latent-Dynamic Conditional Random Fields for recognizing activities in smart homes
Journal of Ambient Intelligence and Smart Environments - Ambient and Smart Component Technologies for Human Centric Computing
Finding Meaningful Bayesian Confirmation Measures
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
Alert correlation: Severe attack prediction and controlling false alarm rate tradeoffs
Intelligent Data Analysis
Learning probabilistic real-time automata from multi-attribute event logs
Intelligent Data Analysis - Dynamic Networks and Knowledge Discovery
Vector-Value Markov Decision Process for multi-objective stochastic path planning
International Journal of Hybrid Intelligent Systems
Exploring systems engineering patterns in government acquisition of complex information systems
Information-Knowledge-Systems Management
Multi-Target Tracking by Online Learning a CRF Model of Appearance and Motion Patterns
International Journal of Computer Vision
Context and semantics for detection of cyber attacks
International Journal of Information and Computer Security
International Journal of Approximate Reasoning
Probabilistic inference with noisy-threshold models based on a CP tensor decomposition
International Journal of Approximate Reasoning
Qualitative chain graphs and their application
International Journal of Approximate Reasoning
Learning AMP chain graphs and some marginal models thereof under faithfulness
International Journal of Approximate Reasoning
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