Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
The EM algorithm for graphical association models with missing data
Computational Statistics & Data Analysis - Special issue dedicated to Toma´sˇ Havra´nek
Knowledge representation and inference in similarity networks and Bayesian multinets
Artificial Intelligence
Bayesian classification (AutoClass): theory and results
Advances in knowledge discovery and data mining
Efficient Approximations for the MarginalLikelihood of Bayesian Networks with Hidden Variables
Machine Learning - Special issue on learning with probabilistic representations
Adaptive Probabilistic Networks with Hidden Variables
Machine Learning - Special issue on learning with probabilistic representations
Estimating dependency structure as a hidden variable
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
A tutorial on learning with Bayesian networks
Learning in graphical models
Learning Bayesian networks with local structure
Learning in graphical models
Learning Belief Networks in the Presence of Missing Values and Hidden Variables
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Mean field theory for sigmoid belief networks
Journal of Artificial Intelligence Research
Learning Bayesian networks from incomplete data
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
A Bayesian approach to learning Bayesian networks with local structure
UAI'97 Proceedings of the Thirteenth 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
Asymptotic model selection for directed networks with hidden variables*
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Context-specific Bayesian clustering for gene expression data
RECOMB '01 Proceedings of the fifth annual international conference on Computational biology
Dimensionality Reduction in Unsupervised Learning of Conditional Gaussian Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Probabilistic hierarchical clustering for biological data
Proceedings of the sixth annual international conference on Computational biology
Learning Bayesian networks from data: an information-theory based approach
Artificial Intelligence
Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive Induction
Machine Learning - Special issue: Unsupervised learning
Learning from imprecise data: possibilistic graphical models
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Modeling dependencies in protein-DNA binding sites
RECOMB '03 Proceedings of the seventh annual international conference on Research in computational molecular biology
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
A Formalism for Building Causal Polytree Structures Using Data Distributions
ISMIS '00 Proceedings of the 12th International Symposium on Foundations of Intelligent Systems
Data perturbation for escaping local maxima in learning
Eighteenth national conference on Artificial intelligence
Data mining tasks and methods: Probabilistic and casual networks: mining for probabilistic networks
Handbook of data mining and knowledge discovery
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
Operations and evaluation measures for learning possibilistic graphical models
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Learning Bayesian Networks from Incomplete Data Based on EMI Method
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
ACM SIGKDD Explorations Newsletter
Semi-supervised learning for facial expression recognition
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Probabilistic discovery of overlapping cellular processes and their regulation
RECOMB '04 Proceedings of the eighth annual international conference on Resaerch in computational molecular biology
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - New trends in probabilistic graphical models
Web-Based Knowledge Acquisition to Impute Missing Values for Classification
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A hierarchical graphical model for record linkage
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
Building Bayesian Network Models in Medicine: The MENTOR Experience
Applied Intelligence
A formal approach to using data distributions for building causal polytree structures
Information Sciences—Informatics and Computer Science: An International Journal
Machine Learning
Naive Bayes models for probability estimation
ICML '05 Proceedings of the 22nd international conference on Machine learning
Construction and Methods of Learning of Bayesian Networks
Cybernetics and Systems Analysis
A new imputation method for small software project data sets
Journal of Systems and Software
Self-organizing learning array and its application to economic and financial problems
Information Sciences: an International Journal
Incremental learning of cognitive concepts: a hidden variable networks approach
PCAR '06 Proceedings of the 2006 international symposium on Practical cognitive agents and robots
A Bayesian network approach to explaining time series with changing structure
Intelligent Data Analysis
Rule mining with prior knowledge -- a belief networks approach
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
Exploiting missing clinical data in Bayesian network modeling for predicting medical problems
Journal of Biomedical Informatics
Learning Bayesian networks from incomplete databases using a novel evolutionary algorithm
Decision Support Systems
Learning probabilistic logic models from probabilistic examples
Machine Learning
A Bayesian network for IT governance performance prediction
Proceedings of the 10th international conference on Electronic commerce
Two Evolutionary Methods for Learning Bayesian Network Structures
Computational Intelligence and Security
Learning Bayesian Networks Based on a Mutual Information Scoring Function and EMI Method
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
ECML '07 Proceedings of the 18th European conference on Machine Learning
Complex adaptive filtering user profile using graphical models
Information Processing and Management: an International Journal
LSPEnv: location-based service provider for environmental data
Journal of Location Based Services
A Bayesian Approach to Attention Control and Concept Abstraction
Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint
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
Challenges for context management systems imposed by context inference
MUCS '09 Proceedings of the 6th international workshop on Managing ubiquitous communications and services
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
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
Common sense based joint training of human activity recognizers
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Bayesian information extraction network
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Probabilistic classification and clustering in relational data
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Impact of censoring on learning Bayesian networks in survival modelling
Artificial Intelligence in Medicine
Learning Bayesian networks to perform feature selection
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Child-friendly divorcing: incremental hierarchy learning in Bayesian networks
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Model gene network by semi-fixed Bayesian network
Expert Systems with Applications: An International Journal
Latent variable study algorithm based on grey cluster relation analysis method
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
A hybrid classification method of k nearest neighbor, Bayesian methods and genetic algorithm
Expert Systems with Applications: An International Journal
Learning Bayesian networks with combination of MRMR criterion and EMI method
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
A parallel algorithm for learning Bayesian networks
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Learning Bayesian networks using evolutionary algorithm and a variant of MDL score
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
Structural-EM for learning PDG models from incomplete data
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
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Diagnose the mild cognitive impairment by constructing Bayesian network with missing data
Expert Systems with Applications: An International Journal
Interaction analysis for adaptive user interfaces
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Learning what and how of contextual models for scene labeling
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Knowledge based activity recognition with dynamic bayesian network
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Trustworthy Service Selection and Composition
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
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
Probabilistic graphical models in artificial intelligence
Applied Soft Computing
Learning the behavior model of a robot
Autonomous Robots
A new method of learning Bayesian networks structures from incomplete data
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
K nearest neighbor reinforced expectation maximization method
Expert Systems with Applications: An International Journal
Inferring parameters and structure of latent variable models by variational bayes
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Discovering the hidden structure of complex dynamic systems
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Learning Bayesian networks from incomplete data with stochastic search algorithms
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Learning the dimensionality of hidden variables
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Learning the structure of dynamic probabilistic networks
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Learning mixtures of DAG models
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Discrete particle swarm optimization and EM hybrid approach for naive bayes clustering
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
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
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
Review: learning bayesian networks: Approaches and issues
The Knowledge Engineering Review
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Computational Statistics & Data Analysis
Clustering and categorization of Brazilian portuguese legal documents
PROPOR'12 Proceedings of the 10th international conference on Computational Processing of the Portuguese Language
Learning the structure of probabilistic logic programs
ILP'11 Proceedings of the 21st international conference on Inductive Logic Programming
Tutorial and selected approaches on parameter learning in bayesian network with incomplete data
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I
Riffled independence for efficient inference with partial rankings
Journal of Artificial Intelligence Research
A novel classification learning framework based on estimation of distribution algorithms
International Journal of Computing Science and Mathematics
Artificial Intelligence in Medicine
Classifying entities into an incomplete ontology
Proceedings of the 2013 workshop on Automated knowledge base construction
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In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a belief network from incomplete data--that is, in the presence of missing values or hidden variables. In a recent paper, I introduced an algorithm called Structural EM that combines the standard Expectation Maximization (EM) algorithm, which optimizes parameters, with structure search for model selection. That algorithm learns networks based on penalized likelihood scores, which include the BIC/MDL score and various approximations to the Bayesian score. In this paper, I extend Structural EM to deal directly with Bayesian model selection. I prove the convergence of the resulting algorithm and show how to apply it for learning a large class of probabilistic models, including Bayesian networks and some variants thereof.