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
Dependency preserving probabilistic modeling of switching activity using bayesian networks
Proceedings of the 38th annual Design Automation Conference
Computationally Efficient Stochastic Realization for Internal Multiscale Autoregressive Models
Multidimensional Systems and Signal Processing
Hidden Markov models for modeling and recognizing gesture under variation
Hidden Markov models
Bayesian Graphical Models for Software Testing
IEEE Transactions on Software Engineering
A hybrid graphical model for rhythmic parsing
Artificial Intelligence
Bayesianism and Language Change
Journal of Logic, Language and Information
Parameter Learning in Object-Oriented Bayesian Networks
Annals of Mathematics and Artificial Intelligence
Restricted Prior Inference for Complex Uncertainty Structures
Annals of Mathematics and Artificial Intelligence
Separoids: A Mathematical Framework for Conditional Independence and Irrelevance
Annals of Mathematics and Artificial Intelligence
On Stochastic Conditional Independence: the Problems of Characterization and Description
Annals of Mathematics and Artificial Intelligence
Stable local computation with conditional Gaussian distributions
Statistics and Computing
Game Theory and Decision Theory in Multi-Agent Systems
Autonomous Agents and Multi-Agent Systems
Two Models of Information Costs Based on Computational Complexity
Computational Economics
Building Probabilistic Networks: 'Where Do the Numbers Come From?' Guest Editors' Introduction
IEEE Transactions on Knowledge and Data Engineering
Predicting project delivery rates using the Naive-Bayes classifier
Journal of Software Maintenance: Research and Practice
Tracking Discontinuous Motion Using Bayesian Inference
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Knowledge-Driven Processes Can Be Managed
AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Conditionally Independent Component Extraction for Naive Bayes Inference
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
WISECON - An Intelligent Assistant for Buying Computers on the Internet
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
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
Automatic Speech Recognition: The New Millennium
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
Sequence Learning via Bayesian Clustering by Dynamics
Sequence Learning - Paradigms, Algorithms, and Applications
Estimating Dependability of Programmable Systems Using BBNs
SAFECOMP '00 Proceedings of the 19th International Conference on Computer Safety, Reliability and Security
A Bayesian Belief Network for Reliability Assessment
SAFECOMP '01 Proceedings of the 20th International Conference on Computer Safety, Reliability and Security
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
A differential approach to inference in Bayesian networks
Journal of the ACM (JACM)
Fuzzy modeling in terms of surprise
Fuzzy Sets and Systems - Special issue: Interfaces between fuzzy set theory and interval analysis
Bayesian networks for discrete multivariate data: an algebraic approach to inference
Journal of Multivariate Analysis
Coverage directed test generation for functional verification using bayesian networks
Proceedings of the 40th annual Design Automation Conference
Locality of global stochastic interaction in directed acyclic networks
Neural Computation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchical latent class models for cluster analysis
Eighteenth national conference on Artificial intelligence
Fuzzy logic and probability applications
CSB '02 Proceedings of the IEEE Computer Society Conference on Bioinformatics
Switching Activity Estimation of Large Circuits using Multiple Bayesian Networks
ASP-DAC '02 Proceedings of the 2002 Asia and South Pacific Design Automation Conference
Moral Dominance Relations for Program Comprehension
IEEE Transactions on Software Engineering
Learning with mixtures of trees
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
A Thorough Axiomatization of a Principle of Conditional Preservation in Belief Revision
Annals of Mathematics and Artificial Intelligence
Translation-invariant mixture models for curve clustering
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Switching activity estimation of VLSI circuits using Bayesian networks
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
ACM SIGKDD Explorations Newsletter
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
Conditional independence structures and graphical models
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
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
Reference priors for exponential families with simple quadratic variance function
Journal of Multivariate Analysis
The Knowledge Engineering Review
Tree consistency and bounds on the performance of the max-product algorithm and its generalizations
Statistics and Computing
Distributed regression: an efficient framework for modeling sensor network data
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
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
"AU: Timing Analysis Under Uncertainty
Proceedings of the 2003 IEEE/ACM international conference on Computer-aided design
Hierarchical Latent Class Models for Cluster Analysis
The Journal of Machine Learning Research
Reinforcement Learning with Factored States and Actions
The Journal of Machine Learning Research
Correlation exploitation in error ranking
Proceedings of the 12th ACM SIGSOFT twelfth international symposium on Foundations of software engineering
Probabilistic fault localization in communication systems using belief networks
IEEE/ACM Transactions on Networking (TON)
An empirical evaluation of possible variations of lazy propagation
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Robust probabilistic inference in distributed systems
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Building Bayesian Network Models in Medicine: The MENTOR Experience
Applied Intelligence
Exploiting Correlated Attributes in Acquisitional Query Processing
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Causal probabilistic input dependency learning for switching model in VLSI circuits
GLSVLSI '05 Proceedings of the 15th ACM Great Lakes symposium on VLSI
Can user models be learned at all? Inherent problems in machine learning for user modelling
The Knowledge Engineering Review
Learning nonsingular phylogenies and hidden Markov models
Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
Normative selection of Bayesian networks
Journal of Multivariate Analysis
Feature-rich part-of-speech tagging with a cyclic dependency network
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
A Comparison of Algorithms for Inference and Learning in Probabilistic Graphical Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Discriminative versus generative parameter and structure learning of Bayesian network classifiers
ICML '05 Proceedings of the 22nd international conference on Machine learning
Discriminatively Trained Markov Model for Sequence Classification
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Estimation and Marginalization Using the Kikuchi Approximation Methods
Neural Computation
Inference of structures of models of probabilistic dependences from statistical data
Cybernetics and Systems Analysis
Distributed localization of networked cameras
Proceedings of the 5th international conference on Information processing in sensor networks
The Graph SLAM Algorithm with Applications to Large-Scale Mapping of Urban Structures
International Journal of Robotics Research
A Bayesian network classifier and hierarchical Gabor features for handwritten numeral recognition
Pattern Recognition Letters
Decomposition of structural learning about directed acyclic graphs
Artificial Intelligence
Learning dynamic Bayesian network models via cross-validation
Pattern Recognition Letters
Proceedings of the 41st annual Design Automation Conference
A robust architecture for distributed inference in sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Simultaneous record detection and attribute labeling in web data extraction
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Convergent Tree-Reweighted Message Passing for Energy Minimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian network based human pose estimation
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
Hierarchical Probabilistic Macromodeling for QCA Circuits
IEEE Transactions on Computers
Local Propagation in Conditional Gaussian Bayesian Networks
The Journal of Machine Learning Research
Bayesian network modelling through qualitative patterns
Artificial Intelligence
Incorporating non-local information into information extraction systems by Gibbs sampling
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Hidden-variable models for discriminative reranking
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Combining multiple forms of evidence while filtering
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Probabilistic maximum error modeling for unreliable logic circuits
Proceedings of the 17th ACM Great Lakes symposium on VLSI
An HMM for detecting spam mail
Expert Systems with Applications: An International Journal
Mobile robot localization using active sensing based on Bayesian network inference
Robotics and Autonomous Systems
Public participation modelling using Bayesian networks in management of groundwater contamination
Environmental Modelling & Software
Artificial Intelligence and Law
Optimizing mpf queries: decision support and probabilistic inference
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
A Graphical Representation of Equivalence Classes of AMP Chain Graphs
The Journal of Machine Learning Research
Learning Factor Graphs in Polynomial Time and Sample Complexity
The Journal of Machine Learning Research
Walk-Sums and Belief Propagation in Gaussian Graphical Models
The Journal of Machine Learning Research
Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation
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
Classification in Networked Data: A Toolkit and a Univariate Case Study
The Journal of Machine Learning Research
Minimizing Nonsubmodular Functions with Graph Cuts-A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Software Engineering
Management of probabilistic data: foundations and challenges
Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Racing algorithms for conditional independence inference
International Journal of Approximate Reasoning
Modeling changing dependency structure in multivariate time series
Proceedings of the 24th international conference on Machine learning
Square Root SAM: Simultaneous Localization and Mapping via Square Root Information Smoothing
International Journal of Robotics Research
Selecting treatment strategies with dynamic limited-memory influence diagrams
Artificial Intelligence in Medicine
A chain-model genetic algorithm for Bayesian network structure learning
Proceedings of the 9th annual conference on Genetic and evolutionary computation
A probabilistic graphical model for joint answer ranking in question answering
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
A scalable modular convex solver for regularized risk minimization
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Operating with potentials of discrete variables
International Journal of Approximate Reasoning
EURASIP Journal on Applied Signal Processing
Convergence in Markovian models with implications for efficiency of inference
International Journal of Approximate Reasoning
Rule mining with prior knowledge -- a belief networks approach
Intelligent Data Analysis
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
Mean-field variational approximate Bayesian inference for latent variable models
Computational Statistics & Data Analysis
Model-driven data acquisition in sensor networks
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Management of data with uncertainties
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
A model for parameter setting based on Bayesian networks
Engineering Applications of Artificial Intelligence
MEBN: A language for first-order Bayesian knowledge bases
Artificial Intelligence
An ontology-based approach to interoperability for Bayesian agents
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Approximate algorithms for credal networks with binary variables
International Journal of Approximate Reasoning
Appraisal of companies with Bayesian networks
International Journal of Business Intelligence and Data Mining
Computational methods for complex stochastic systems: a review of some alternatives to MCMC
Statistics and Computing
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
Journal of Biomedical Informatics
ACM SIGACT News
Evolved bayesian networks as a versatile alternative to partin tables for prostate cancer management
Proceedings of the 10th annual conference on Genetic and evolutionary computation
A Tutorial on Conformal Prediction
The Journal of Machine Learning Research
A Recursive Method for Structural Learning of Directed Acyclic Graphs
The Journal of Machine Learning Research
Probabilistic logic with independence
International Journal of Approximate Reasoning
Constructing Bayesian networks for criminal profiling from limited data
Knowledge-Based Systems
Belief update in CLG Bayesian networks with lazy propagation
International Journal of Approximate Reasoning
ProCarSur: A System for Dynamic Prognostic Reasoning in Cardiac Surgery
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Fast Generalized Belief Propagation for MAP Estimation on 2D and 3D Grid-Like Markov Random Fields
Proceedings of the 30th DAGM symposium on Pattern Recognition
Decomposable Families of Itemsets
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction
The Journal of Machine Learning Research
A machine learning methodology for the analysis of workplace accidents
International Journal of Computer Mathematics - Recent Advances in Computational and Applied Mathematics in Science and Engineering
Covariance selection for nonchordal graphs via chordal embedding
Optimization Methods & Software - Mathematical programming in data mining and machine learning
Parallell interacting MCMC for learning of topologies of graphical models
Data Mining and Knowledge Discovery
Complex adaptive filtering user profile using graphical models
Information Processing and Management: an International Journal
BayesStore: managing large, uncertain data repositories with probabilistic graphical models
Proceedings of the VLDB Endowment
Approximate lineage for probabilistic databases
Proceedings of the VLDB Endowment
Academic conference homepage understanding using constrained hierarchical conditional random fields
Proceedings of the 17th ACM conference on Information and knowledge management
Independence Decomposition in Dynamic Bayesian Networks
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
Thermal switching error versus delay tradeoffs in clocked QCA circuits
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients
Expert Systems with Applications: An International Journal
Environmental Modelling & Software
Broad phonetic classification using discriminative Bayesian networks
Speech Communication
Probability propagation in fuzzy Bayesian belief networks with nondeterministic states
Cybernetics and Systems Analysis
A phenotypic genetic algorithm for inductive logic programming
Expert Systems with Applications: An International Journal
A reconstruction algorithm for the essential graph
International Journal of Approximate Reasoning
Deliberation Process in a BDI Model with Bayesian Networks
Agent Computing and Multi-Agent Systems
Causal Ambiguity, Complexity, and Capability-Based Advantage
Management Science
A refinement of the common cause principle
Discrete Applied Mathematics
Probabilistic databases: diamonds in the dirt
Communications of the ACM - Barbara Liskov: ACM's A.M. Turing Award Winner
Conditional independence structure and its closure: Inferential rules and algorithms
International Journal of Approximate Reasoning
Indexing correlated probabilistic databases
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
A fuzzy logic system for home elderly people monitoring (EMUTEM)
FS'09 Proceedings of the 10th WSEAS international conference on Fuzzy systems
Approximation Methods for Efficient Learning of Bayesian Networks
Proceedings of the 2008 conference on Approximation Methods for Efficient Learning of Bayesian Networks
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 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
Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Simplifying Learning in Non-repetitive Dynamic Bayesian Networks
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
Reforestation planning using Bayesian networks
Environmental Modelling & Software
Bayesian network classifiers versus k-NN classifier using sequential feature selection
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Visibility of Journals for Journal of Visualization
Journal of Visualization
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
A join tree probability propagation architecture for semantic modeling
Journal of Intelligent Information Systems
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
Preference aggregation with graphical utility models
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Effective dimensions of hierarchical latent class models
Journal of Artificial Intelligence Research
A continuation method for Nash equilibria in structured games
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Automated heart wall motion abnormality detection from ultrasound images using Bayesian networks
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Thin junction tree filters for simultaneous localization and mapping
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Efficient stochastic local search for MPE solving
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
PrDB: managing and exploiting rich correlations in probabilistic databases
The VLDB Journal — The International Journal on Very Large Data Bases
Bayesian network modelling through qualitative patterns
Artificial Intelligence
Decomposition of structural learning about directed acyclic graphs
Artificial Intelligence
Factors affecting automated syndromic surveillance
Artificial Intelligence in Medicine
Factors affecting automated syndromic surveillance
Artificial Intelligence in Medicine
A multisensor decision fusion system for terrain safety assessment
IEEE Transactions on Robotics
An ambient intelligence architecture for extracting knowledge from distributed sensors
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Towards a Method for Data Accuracy Assessment Utilizing a Bayesian Network Learning Algorithm
Journal of Data and Information Quality (JDIQ)
Mining and visualising ordinal data with non-parametric continuous BBNs
Computational Statistics & Data Analysis
Fast recommendations using GAI models
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Multiobjective optimization using GAI models
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
A novel statistical generative model dedicated to face recognition
Image and Vision Computing
Detection of Gauss-Markov random fields with nearest-neighbor dependency
IEEE Transactions on Information Theory
D-Separation and computation of probability distributions in Bayesian networks
Artificial Intelligence Review
ONDM'09 Proceedings of the 13th international conference on Optical Network Design and Modeling
Choquet Optimization Using GAI Networks for Multiagent/Multicriteria Decision-Making
ADT '09 Proceedings of the 1st International Conference on Algorithmic Decision Theory
An application of Bayesian network for predicting object-oriented software maintainability
Information and Software Technology
Graphical models for imprecise probabilities
International Journal of Approximate Reasoning
Solving linear-quadratic conditional Gaussian influence diagrams
International Journal of Approximate Reasoning
Operations for inference in continuous Bayesian networks with linear deterministic variables
International Journal of Approximate Reasoning
Learning probabilistic decision graphs
International Journal of Approximate Reasoning
Inference in hybrid Bayesian networks with mixtures of truncated exponentials
International Journal of Approximate Reasoning
A Study of Parts-Based Object Class Detection Using Complete Graphs
International Journal of Computer Vision
Bridging the gap between intensional and extensional query evaluation in probabilistic databases
Proceedings of the 13th International Conference on Extending Database Technology
The space of compatible full conditionals is a unimodular toric variety
Journal of Symbolic Computation
Knowledge-based feedback integration to facilitate sustainable product innovation
ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
Bayesian network classifiers versus selective k-NN classifier
Pattern Recognition
A note on minimal d-separation trees for structural learning
Artificial Intelligence
A multi-agent systems approach to distributed bayesian information fusion
Information Fusion
Experimental evaluation of an automatic parameter setting system
Expert Systems with Applications: An International Journal
Bayesian Network Structure Learning by Recursive Autonomy Identification
The Journal of Machine Learning Research
Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure
The Journal of Machine Learning Research
Bundle Methods for Regularized Risk Minimization
The Journal of Machine Learning Research
Structural learning about independence graphs from multiple databases
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Hierarchical Bayesian network for handwritten digit recognition
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
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
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
Data transformations and representations for computation and visualization
Information Visualization
Detecting computer intrusions with Bayesian networks
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Interoperability for Bayesian agents in the semantic web
ProMAS'07 Proceedings of the 5th international conference on Programming multi-agent systems
Basic principles of learning Bayesian logic programs
Probabilistic inductive logic programming
Improvements to message computation in lazy propagation
International Journal of Approximate Reasoning
On the robustness of Bayesian networks to learning from non-conjugate sampling
International Journal of Approximate Reasoning
Learning Bayesian network structure from incomplete data without any assumption
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
Lineage processing over correlated probabilistic databases
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Variable elimination for influence diagrams with super value nodes
International Journal of Approximate Reasoning
Misuse-based intrusion detection using Bayesian networks
International Journal of Critical Computer-Based Systems
Bayesian compressive sensing via belief propagation
IEEE Transactions on Signal Processing
Efficient active probing for fault diagnosis in large scale and noisy networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Using background knowledge to rank itemsets
Data Mining and Knowledge Discovery
Pattern Recognition Letters
Communications of the ACM
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers
The Journal of Machine Learning Research
Hybrid Bayesian network classifiers: Application to species distribution models
Environmental Modelling & Software
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
Acyclic directed graphs representing independence models
International Journal of Approximate Reasoning
Data Mining and Knowledge Discovery
Journal of Medical Systems
A decentralized junction tree approach to mobile robots cooperative localization
ICIRA'10 Proceedings of the Third international conference on Intelligent robotics and applications - Volume Part I
A probabilistic expert system for predicting the risk of Legionella in evaporative installations
Expert Systems with Applications: An International Journal
Efficient Algorithms for Conditional Independence Inference
The Journal of Machine Learning Research
SIAM Journal on Discrete Mathematics
A timing-aware probabilistic model for single-event-upset analysis
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Cascaded Bayesian inferencing for switching activity estimation with correlated inputs
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Decision making with multiple objectives using GAI networks
Artificial Intelligence
A hypothesis test for equality of bayesian network models
EURASIP Journal on Bioinformatics and Systems Biology
Trust-based security level evaluation using Bayesian belief networks
Transactions on computational science X
Probabilistic error modeling for nano-domain logic circuits
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Bayesian MAP model selection of chain event graphs
Journal of Multivariate Analysis
Learning Latent Tree Graphical Models
The Journal of Machine Learning Research
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
ICDHM'11 Proceedings of the Third international conference on Digital human modeling
A predictive Bayesian network model for home management of preeclampsia
AIME'11 Proceedings of the 13th conference on Artificial intelligence in medicine
Development of an internet based system for modeling biotin metabolism using Bayesian networks
Computer Methods and Programs in Biomedicine
Bringing introspection into BlobSeer: Towards a self-adaptive distributed data management system
International Journal of Applied Mathematics and Computer Science - SPECIAL SECTION: Efficient Resource Management for Grid-Enabled Applications
Model-based multidimensional clustering of categorical data
Artificial Intelligence
Effective connectivity analysis of fMRI and MEG data collected under identical paradigms
Computers in Biology and Medicine
Axiomatisation of fully probabilistic design
Information Sciences: an International Journal
Review: Bayesian networks in environmental modelling
Environmental Modelling & Software
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
A differential approach to inference in Bayesian networks
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
Inference for belief networks using coupling from the past
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
Evaluating influence diagrams using LIMIDs
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
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
Approximating MAP using local search
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
A mixed graphical model for rhythmic parsing
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Journal of Computer and System Sciences
An architecture for rational agents
DALT'05 Proceedings of the Third international conference on Declarative Agent Languages and Technologies
On local optima in learning bayesian networks
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Argumentation in bayesian belief networks
ArgMAS'04 Proceedings of the First international conference on Argumentation in Multi-Agent Systems
One backward inference algorithm in bayesian networks
PDCAT'04 Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
Mixtures of truncated basis functions
International Journal of Approximate Reasoning
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
Building graphical model based system in sensor networks
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
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
Structural learning of graphical models and its applications to traditional chinese medicine
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Probabilistic inference strategy in distributed intrusion detection systems
ISPA'04 Proceedings of the Second international conference on Parallel and Distributed Processing and Applications
Multistream dynamic bayesian network for meeting segmentation
MLMI'04 Proceedings of the First international conference on Machine Learning for Multimodal Interaction
iSAM2: Incremental smoothing and mapping using the Bayes tree
International Journal of Robotics Research
Qualified probabilistic predictions using graphical models
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
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
Successive restrictions algorithm in bayesian networks
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
Conditional independences in gaussian vectors and rings of polynomials
WCII'02 Proceedings of the 2002 international conference on Conditionals, Information, and Inference
PAQ: time series forecasting for approximate query answering in sensor networks
EWSN'06 Proceedings of the Third European conference on Wireless Sensor Networks
Expert Systems with Applications: An International Journal
Intrinsic coordinatability of agent-based systems
AIKED'12 Proceedings of the 11th WSEAS international conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Prediction Models for Early Risk Detection of Cardiovascular Event
Journal of Medical Systems
Mining Bayesian networks out of ontologies
Journal of Intelligent Information Systems
Integrating classification trees with local logistic regression in Intensive Care prognosis
Artificial Intelligence in Medicine
Editorial: Bayesian networks in biomedicine and health-care
Artificial Intelligence in Medicine
Aggregate queries on probabilistic record linkages
Proceedings of the 15th International Conference on Extending Database Technology
Data association based on optimization in graphical models with application to sensor networks
Mathematical and Computer Modelling: An International Journal
On the tractability of query compilation and bounded treewidth
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AIM: a personal view of where I have been and where we might be going
Artificial Intelligence in Medicine
Inference in possibilistic network classifiers under uncertain observations
Annals of Mathematics and Artificial Intelligence
Progress in root cause and fault propagation analysis of large-scale industrial processes
Journal of Control Science and Engineering
On Learning Conditional Random Fields for Stereo
International Journal of Computer Vision
Analysis of Markov Boundary Induction in Bayesian Networks: A New View From Matroid Theory
Fundamenta Informaticae
Online bayesian inference for the parameters of PRISM programs
ILP'11 Proceedings of the 21st international conference on Inductive Logic Programming
Belief networks in classification of laryngopathies based on speech spectrum analysis
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Reasoning and Learning in Extended Structured Bayesian Networks
Fundamenta Informaticae
Multimodal human behavior analysis: learning correlation and interaction across modalities
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Face authentication with salient local features and static Bayesian network
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Model-based clustering of high-dimensional data: Variable selection versus facet determination
International Journal of Approximate Reasoning
Information Sciences: an International Journal
Assessment of adaptive human-robot interactions
Knowledge-Based Systems
Artificial Intelligence in Medicine
Ordering arc-reversal operations when eliminating variables in lazy AR propagation
International Journal of Approximate Reasoning
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
Approximation trade-offs in a Markovian stream warehouse: An empirical study
Information Systems
Detecting, segmenting and tracking unknown objects using multi-label MRF inference
Computer Vision and Image Understanding
Sub-local constraint-based learning of Bayesian networks using a joint dependence criterion
The Journal of Machine Learning Research
Cybernetics and Systems Analysis
A PC algorithm variation for ordinal variables
Computational Statistics
Qualitative chain graphs and their application
International Journal of Approximate Reasoning
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From the Publisher:Probabilistic expert systems are graphical networks that support the modelling of uncertainty and decisions in large complex domains, while retaining ease of calculation. Building on original research by the authors over a number of years, this book gives a thorough and rigorous mathematical treatment of the underlying ideas, structures, and algorithms, emphasizing those cases in which exact answers are obtainable. The book will be of interest to researchers and graduate students in artificial intelligence who desire an understanding of the mathematical and statistical basis of probabilistic expert systems, and to students and research workers in statistics wanting an introduction to this fascinating and rapidly developing field. The careful attention to detail will also make this work an important reference source for all those involved in the theory and applications of probabilistic expert systems.