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
The complexity of logic-based abduction
Journal of the ACM (JACM)
Communications of the ACM
Automatic thesaurus construction using Bayesian networks
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
On state-space abstraction for anytime evaluation of Bayesian networks
ACM SIGART Bulletin
Diagnostic reasoning based on a genetic algorithm operating in a Bayesian belief network
Pattern Recognition Letters
Learning and Updating of Uncertainty in Dirichlet Models
Machine Learning
An Extended Relational Data Model For Probabilistic Reasoning
Journal of Intelligent Information Systems
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
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
Propagating distributions up directed acyclic graphs
Neural Computation
An axiomatic treatment of three qualitative decision criteria
Journal of the ACM (JACM)
Graphical models for problem solving
Computing in Science and Engineering
Printer troubleshooting using Bayesian networks
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
ACM Computing Surveys (CSUR)
Learning probabilistic relational models
Relational Data Mining
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
Learning Structure from Data and Its Application to Ozone Prediction
Applied Intelligence
Massively Parallel Probabilistic Reasoning with Boltzmann Machines
Applied Intelligence
Bayesian Networks for Data Mining
Data Mining and Knowledge Discovery
Simplicity and Robustness of Fast and Frugal Heuristics
Minds and Machines
Decomposing Bayesian networks: triangulation of the moral graph with genetic algorithms
Statistics and Computing
On predictive distributions and Bayesian networks
Statistics and Computing
A parallel Lauritzen-Spiegelhalter algorithm for probabilistic inference
Proceedings of the 1994 ACM/IEEE conference on Supercomputing
Context-specific sign-propagation in qualitative probabilistic networks
Artificial Intelligence
Combinatorial Information Market Design
Information Systems Frontiers
Constructing Efficient Belief Network Structures With Expert Provided Information
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
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
A Distributed Learning Algorithm for Bayesian Inference Networks
IEEE Transactions on Knowledge and Data Engineering
A Language for Construction of Belief Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Approximating Probabilistic Inference in Bayesian Belief Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Learning cost-sensitive active classifiers
Artificial Intelligence
Mini-buckets: A general scheme for bounded inference
Journal of the ACM (JACM)
Complexity results for structure-based causality
Artificial Intelligence
Variational mixture of Bayesian independent component analyzers
Neural Computation
Ascender II, a Visual Framework for 3D Reconstruction
ICVS '99 Proceedings of the First International Conference on Computer Vision Systems
Anytime Possibilistic Propagation Algorithm
Soft-Ware 2002 Proceedings of the First International Conference on Computing in an Imperfect World
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
Lazy Propagation and Independence of Causal Influence
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and 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 Degeneration of Relevance in Uncertain Temporal Domains: An Empirical Study
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
Probabilistic Relational Models
ILP '99 Proceedings of the 9th International Workshop on Inductive Logic Programming
Possibilistic causality consistency problem based on asymmetrically-valued causal model
Fuzzy Sets and Systems - Possibility theory and fuzzy logic
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 genetic algorithm for tuning variable orderings in Bayesian network structure learning
Eighteenth national conference on Artificial intelligence
A Bayesian metareasoner for algorithm selection for real-time Bayesian network inference problems
Eighteenth national conference on Artificial intelligence
Handbook of data mining and knowledge discovery
Decision Making and Uncertainty Management in a 3D Reconstruction System
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy functional dependencies and Bayesian networks
Journal of Computer Science and Technology
Qualitative probability and order of magnitude reasoning
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Reasoning with BKBs – Algorithms and Complexity
Annals of Mathematics and Artificial Intelligence
Complexity of probabilistic reasoning in directed-path singly-connected Bayes networks
Artificial Intelligence
Naive Bayes vs decision trees in intrusion detection systems
Proceedings of the 2004 ACM symposium on Applied computing
Complexity results for explanations in the structural-model approach
Artificial Intelligence
Reasoning and learning in extended structured Bayesian networks
Fundamenta Informaticae
Node deletion sequences in influence diagrams using genetic algorithms
Statistics and Computing
Information Sciences: an International Journal - Special issue: Soft computing data mining
Reinforcement Learning with Factored States and Actions
The Journal of Machine Learning Research
A new characterization of probabilities in Bayesian networks
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
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
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
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
Temporal Relevance in Dynamic Decision Networks with Sparse Evidence
Applied Intelligence
Relevance feedback for content-based image retrieval using Bayesian network
VIP '05 Proceedings of the Pan-Sydney area workshop on Visual information processing
Very large Bayesian multinets for text classification
Future Generation Computer Systems
Attractor Dynamics in Feedforward Neural Networks
Neural Computation
Computational complexity of queries based on itemsets
Information Processing Letters
Hybrid intelligent systems for network security
Proceedings of the 44th annual Southeast regional conference
Fast algorithms for robust classification with Bayesian nets
International Journal of Approximate Reasoning
The complexity of non-hierarchical clustering with instance and cluster level constraints
Data Mining and Knowledge Discovery
A New Singly Connected Network Classifier based on Mutual Information
Intelligent Data Analysis
Graphical Models for Groups: Belief Aggregation and Risk Sharing
Decision Analysis
Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation
The Journal of Machine Learning Research
Distances between Data Sets Based on Summary Statistics
The Journal of Machine Learning Research
A new look at survey propagation and its generalizations
Journal of the ACM (JACM)
Management of probabilistic data: foundations and challenges
Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Theoretical analysis and practical insights on importance sampling in Bayesian networks
International Journal of Approximate Reasoning
An approach to hybrid probabilistic models
International Journal of Approximate Reasoning
An evolutionary computing approach to probabilistic reasoning on bayesian networks
Evolutionary Computation
Expressive probabilistic description logics
Artificial Intelligence
Mapping for better than worst-case delays in LUT-based FPGA designs
Proceedings of the 16th international ACM/SIGDA symposium on Field programmable gate arrays
Understanding the role of noise in stochastic local search: Analysis and experiments
Artificial Intelligence
Automatic fuzzy decision network transformation
AIKED'06 Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Incorporating constraints in probabilistic XML
Proceedings of the twenty-seventh ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Identification of best sets of actions in Influence Nets
International Journal of Hybrid Intelligent Systems
Enhanced qualitative probabilistic networks for resolving trade-offs
Artificial Intelligence
Complexity results for enhanced qualitative probabilistic networks
International Journal of Approximate Reasoning
ACM SIGACT News
Detecting anomalous access patterns in relational databases
The VLDB Journal — The International Journal on Very Large Data Bases
International Journal of Hybrid Intelligent Systems - HIS 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
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
A Direct Measure for the Efficacy of Bayesian Network Structures Learned from Data
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
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
Looking Ahead to Select Tutorial Actions: A Decision-Theoretic Approach
International Journal of Artificial Intelligence in Education
Force deployment analysis with generalized grammar
Information Fusion
IDENTIFIABILITY IN CAUSAL BAYESIAN NETWORKS: A GENTLE INTRODUCTION
Cybernetics and Systems
Framework for probabilistic geospatial ontologies
International Journal of Geographical Information Science
Maximum entropy based significance of itemsets
Knowledge and Information Systems
Multivariate analysis applied in Bayesian metareasoning
WSEAS TRANSACTIONS on SYSTEMS
Inference and Learning in Multi-dimensional Bayesian Network Classifiers
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
A simple graphical approach for understanding probabilistic inference in Bayesian networks
Information Sciences: an International Journal
Probabilistic Methods for Financial and Marketing Informatics
Probabilistic Methods for Financial and Marketing Informatics
Inference in qualitative probabilistic networks revisited
International Journal of Approximate Reasoning
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
A probabilistic plan recognition algorithm based on plan tree grammars
Artificial Intelligence
Approximate belief updating in max-2-connected Bayes networks is NP-hard
Artificial Intelligence
Approximation Methods for Efficient Learning of Bayesian Networks
Proceedings of the 2008 conference on Approximation Methods for Efficient Learning of Bayesian Networks
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
Incorporating constraints in probabilistic XML
ACM Transactions on Database Systems (TODS)
Mixed deterministic and probabilistic networks
Annals of Mathematics and Artificial Intelligence
Binary Probability Trees for Bayesian Networks Inference
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
A method for Bayesian meta-inference applying multiple regressions
ICS'08 Proceedings of the 12th WSEAS international conference on Systems
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
Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks
Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks
A join tree probability propagation architecture for semantic modeling
Journal of Intelligent Information Systems
On the classification performance of TAN and general Bayesian networks
Knowledge-Based Systems
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
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Cutset sampling for Bayesian networks
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
Exploiting causal independence in Bayesian network inference
Journal of Artificial Intelligence Research
Policy recognition in the abstract hidden Markov model
Journal of Artificial Intelligence Research
Variational probabilistic inference and the QMR-DT network
Journal of Artificial Intelligence Research
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
Context reasoning using extended evidence theory in pervasive computing environments
Future Generation Computer Systems
Cortical circuitry implementing graphical models
Neural Computation
A spatio-temporal Bayesian network classifier for understanding visual field deterioration
Artificial Intelligence in Medicine
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
Criteria to evaluate approximate belief network representations in expert systems
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
Very large Bayesian multinets for text classification
Future Generation Computer Systems
Computational complexity of queries based on itemsets
Information Processing Letters
International Journal of Approximate Reasoning
Relaxed survey propagation for the weighted maximum satisfiability problem
Journal of Artificial Intelligence Research
Neural Networks
Computers in Biology and Medicine
Variational upper bounds for probabilistic phylogenetic models
RECOMB'07 Proceedings of the 11th annual international conference on Research in computational molecular biology
Trading off granularity against complexity in predictive models for complex domains
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
A distributed system for genetic linkage analysis
GCCB'06 Proceedings of the 2006 international conference on Distributed, high-performance and grid computing in computational biology
Efficient learning of Bayesian network classifiers: an extension to the TAN classifier
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Local learning algorithm for markov blanket discovery
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
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
A Bayesian model for predicting reliability of software systems at the architectural level
QoSA'07 Proceedings of the Quality of software architectures 3rd international conference on Software architectures, components, and applications
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
Association rule mining: models and algorithms
Association rule mining: models and algorithms
Basic principles of learning Bayesian logic programs
Probabilistic inductive logic programming
Improvements to message computation in lazy propagation
International Journal of Approximate Reasoning
Temporally invariant junction tree for inference in dynamic Bayesian network
Artificial intelligence today
GRN model of probabilistic databases: construction, transition and querying
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
biRNA: fast RNA-RNA binding sites prediction
WABI'09 Proceedings of the 9th international conference on Algorithms in bioinformatics
Bayesian compressive sensing via belief propagation
IEEE Transactions on Signal Processing
Understanding the scalability of Bayesian network inference using clique tree growth curves
Artificial Intelligence
International Journal of Approximate Reasoning
Probabilistic and analytical estimation of software development team size
International Journal of Hybrid Intelligent Systems
Bayesian networks for student model engineering
Computers & Education
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
Join-graph propagation algorithms
Journal of Artificial Intelligence Research
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
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
Models of continual computation
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Conflict resolution and preference learning in ubiquitous environment
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Noisy-or nodes for conditioning models
SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats
Approximate inference in Bayesian networks using binary probability trees
International Journal of Approximate Reasoning
Journal of Intelligent and Robotic Systems
Modified algorithm for efficient reasoning in qualitative belief networks
ISPDC'03 Proceedings of the Second international conference on Parallel and distributed computing
On the structure of elimination trees for Bayesian network inference
MICAI'10 Proceedings of the 9th Mexican international conference on Artificial intelligence conference on Advances in soft computing: Part II
Probabilistic graphical models in artificial intelligence
Applied Soft Computing
Journal of Automated Reasoning
Active tuples-based scheme for bounding posterior beliefs
Journal of Artificial Intelligence Research
Cascaded Bayesian inferencing for switching activity estimation with correlated inputs
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Feature fatigue analysis in product development using Bayesian networks
Expert Systems with Applications: An International Journal
Distributed databases for machine learning: case of a medical domain
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
Join tree propagation utilizing both arc reversal and variable elimination
International Journal of Approximate Reasoning
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
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
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
Evaluating probabilistic inference techniques: a question of "When," not "Which"
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
Review: Bayesian networks in environmental modelling
Environmental Modelling & Software
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
Graphical representations of consensus belief
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Bayesian control for concentrating mixed nuclear waste
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Iterative join-graph propagation
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
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
Adaptive importance sampling for estimation in structured domains
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
Monte Carlo inference via greedy importance sampling
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
Approximating MAP using local search
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
Logarithmic time parallel Bayesian inference
UAI'98 Proceedings of the Fourteenth 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
Elicitation of probabilities for belief networks: combining qualitative and quantitative information
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
Improved sampling for diagnostic reasoning in Bayesian networks
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
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
Computational advantages of relevance reasoning in Bayesian belief networks
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
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
Flexible policy construction by information refinement
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Efficient search-based inference for noisy-OR belief networks: topepsilon
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
Optimal Monte Carlo estimation of belief network inference
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
Real time estimation of Bayesian networks
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
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
Localized partial evaluation of belief networks
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Backward simulation in Bayesian networks
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
An experimental comparison of numerical and qualitative probabilistic reasoning
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
Constructing belief networks to evaluate plans
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
Belief updating by enumerating high-probabilityindependence-based assignments
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
Tradeoffs in constructing and evaluating temporal influence diagrams
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
Relevant explanations: allowing disjunctive assignments
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
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
Two procedures for compiling influence diagrams
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
Parallelizing probabilistic inference: some early explorations
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Sensor validation using dynamic belief 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
Phase transition of tractability in constraint satisfaction and bayesian network inference
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
Search-based methods to bound diagnostic probabilities in very large belief nets
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
Agent-based distributed intrusion alert system
IWDC'04 Proceedings of the 6th international conference on Distributed Computing
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
An alternative proof that exact inference problem in bayesian belief networks is NP-hard
ISCIS'05 Proceedings of the 20th international conference on Computer and Information Sciences
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
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
Approximate factorisation of probability trees
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
Expert Systems with Applications: 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
Logical bayesian networks and their relation to other probabilistic logical models
ILP'05 Proceedings of the 15th international conference on Inductive Logic Programming
On the combination of logical and probabilistic models for information analysis
Applied Intelligence
A search problem in complex diagnostic Bayesian networks
Knowledge-Based Systems
Importance sampling-based estimation over AND/OR search spaces for graphical models
Artificial Intelligence
Mining Bayesian networks out of ontologies
Journal of Intelligent Information Systems
Loose-limbed People: Estimating 3D Human Pose and Motion Using Non-parametric Belief Propagation
International Journal of Computer Vision
The relationship between IR and multimedia databases
IRSG'98 Proceedings of the 20th Annual BCS-IRSG conference on Information Retrieval Research
Understanding tuberculosis epidemiology using structured statistical models
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
Paper: Bayesian inference for model-based segmentation of computed radiographs of the hand
Artificial Intelligence in Medicine
Importance sampling algorithms for Bayesian networks: Principles and performance
Mathematical and Computer Modelling: An International Journal
Answering queries in hybrid Bayesian networks using importance sampling
Decision Support Systems
Efficient indexing methods for recursive decompositions of Bayesian networks
International Journal of Approximate Reasoning
Exploiting the probability of observation for efficient bayesian network inference
Canadian AI'12 Proceedings of the 25th Canadian conference on Advances in Artificial Intelligence
Reasoning and Learning in Extended Structured Bayesian Networks
Fundamenta Informaticae
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
Reasoning and Facts Explanation in Valuation Based Systems
Fundamenta Informaticae
Efficient sensitivity analysis in hidden markov models
International Journal of Approximate Reasoning
Real time location system in support of bayesian network
Proceedings of the Winter Simulation Conference
A review on evolutionary algorithms in Bayesian network learning and inference tasks
Information Sciences: an International Journal
Enterprise transformation: an analytics-based approach to strategic planning
IBM Journal of Research and Development
Ordering arc-reversal operations when eliminating variables in lazy AR propagation
International Journal of Approximate Reasoning
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
Computer Methods and Programs in Biomedicine
A survey on latent tree models and applications
Journal of Artificial Intelligence Research
Journal of Logic, Language and Information
Decision-theoretic troubleshooting: Hardness of approximation
International Journal of Approximate Reasoning
| Hi-index | 0.03 |