Fusion, propagation, and structuring in belief networks
Artificial Intelligence
Evidential reasoning using stochastic simulation of causal models
Artificial Intelligence
Operations Research
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic inference and influence diagrams
Operations Research
Axioms for probability and belief-function propagation
Readings in uncertain reasoning
A model for reasoning about persistence and causation
Computational Intelligence
Probabilistic inference in multiply connected belief networks using loop cutsets
International Journal of Approximate Reasoning
Initialization for the method of conditioning in Bayesian belief networks
Artificial Intelligence
Fusion and propagation with multiple observations in belief networks
Artificial Intelligence
Dynamic network models for forecasting
UAI '92 Proceedings of the eighth conference on Uncertainty in Artificial Intelligence
A computational scheme for reasoning in dynamic probabilistic networks
UAI '92 Proceedings of the eighth conference on Uncertainty in Artificial Intelligence
An algorithm for deciding if a set of observed independencies has a causal explanation
UAI '92 Proceedings of the eighth conference on Uncertainty in Artificial Intelligence
Connectionist learning of belief networks
Artificial Intelligence
Approximating probabilistic inference in Bayesian belief networks is NP-hard
Artificial Intelligence
Computers and Biomedical Research
The EM algorithm for graphical association models with missing data
Computational Statistics & Data Analysis - Special issue dedicated to Toma´sˇ Havra´nek
IEEE Transactions on Pattern Analysis and Machine Intelligence
Local conditioning in Bayesian networks
Artificial Intelligence
Using hidden nodes in Bayesian networks
Artificial Intelligence
Irrelevance and parameter learning in Bayesian networks
Artificial Intelligence
Learning and Updating of Uncertainty in Dirichlet Models
Machine Learning
An optimal approximation algorithm for Bayesian inference
Artificial Intelligence
Bayesian classification (AutoClass): theory and results
Advances in knowledge discovery and data mining
Approximating Bayesian Belief Networks by Arc Removal
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Learning - Special issue on learning with probabilistic representations
The Sample Complexity of Learning Fixed-Structure Bayesian Networks
Machine Learning - Special issue on learning with probabilistic representations
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
Factorial Hidden Markov Models
Machine Learning - Special issue on learning with probabilistic representations
Bayesian Network Refinement Via Machine Learning Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Belief networks, hidden Markov models, and Markov random fields: a unifying view
Pattern Recognition Letters - special issue on pattern recognition in practice V
Some improvements to the Shenoy-Shafer and Hugin architectures for computing marginals
Artificial Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Approximating posterior distributions in belief networks using mixtures
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Improving the mean field approximation via the use of mixture distributions
Learning in graphical models
A view of the EM algorithm that justifies incremental, sparse, and other variants
Learning in graphical models
An Introduction to Variational Methods for Graphical Models
Machine Learning
A sufficiently fast algorithm for finding close to optimal clique trees
Artificial Intelligence
Artificial Intelligence - special issue on computational tradeoffs under bounded resources
Solution Techniques for Constraint Satisfaction Problems: Advanced Approaches
Artificial Intelligence Review
Decomposable negation normal form
Journal of the ACM (JACM)
Robust Learning with Missing Data
Machine Learning
Expert Systems and Probabiistic Network Models
Expert Systems and Probabiistic Network Models
Probabilistic Networks and Expert Systems
Probabilistic Networks and Expert Systems
Learning Bayesian networks from data: an information-theory based approach
Artificial Intelligence
Data Mining and Knowledge Discovery
Parallel Learning of Belief Networks in Large and Difficult Domains
Data Mining and Knowledge Discovery
The size distribution for Markov equivalence classes of acyclic digraph models
Artificial Intelligence
Constructing Efficient Belief Network Structures With Expert Provided Information
IEEE Transactions on Knowledge and Data Engineering
A Guide to the Literature on Learning Probabilistic Networks from Data
IEEE Transactions on Knowledge and Data Engineering
Searching for the best elimination sequence in Bayesian networks by using ant colony optimization
Pattern Recognition Letters
Learning Belief Networks in the Presence of Missing Values and Hidden Variables
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
The EQ Framework for Learning Equivalence Classes of Bayesian Networks
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Incremental Learning of Bayesian Networks with Hidden Variables
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Approximations of Causal Networks by Polytrees: an Empirical Study
IPMU'94 Selected papers from the 5th International Conference on Processing and Management of Uncertainty in Knowledge-Based Systems, Advances in Intelligent Computing
Towards a More Efficient Evolutionary Induction of Bayesian Networks
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Efficient Score-Based Learning of Equivalence Classes of Bayesian Networks
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Learning Right Sized Belief Networks by Means of a Hybrid Methodology
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Arc Weights for Approximate Evaluation of Dynamic Belief Networks
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
The Evolution of Causal Models: A Comparison of Bayesian Metrics and Structure Priors
PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining
Seabreeze Prediction Using Bayesian Networks
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
ECSQARU '93 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Probalistic Network Construction Using the Minimum Description Length Principle
ECSQARU '93 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Parametric Structure of Probabilities in Bayesian Networks
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
The Search of Causal Orderings: A Short Cut for Learning Belief Networks
ECSQARU '01 Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Construction of Large-Scale Bayesian Networks by Local to Global Search
PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Simulation Approaches to General Probabilistic Inference on Belief Networks
UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
An Empirical Evaluation of a Randomized Algorithm for Probabilistic Inference
UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
Weighing and Integrating Evidence for Stochastic Simulation in Bayesian Networks
UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
Equivalence and synthesis of causal models
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
Ideal reformulation of belief networks
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
an entropy-driven system for construction of probabilistic expert systems from databases
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
Learning Dynamic Bayesian Networks
Adaptive Processing of Sequences and Data Structures, International Summer School on Neural Networks, "E.R. Caianiello"-Tutorial Lectures
The Use of Exogenous Knowledge to Learn Bayesian Networks from Incomplete Databases
IDA '97 Proceedings of the Second International Symposium on Advances in Intelligent Data Analysis, Reasoning about Data
A Permutation Genetic Algorithm For Variable Ordering In Learning Bayesian Networks From Data
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
A differential approach to inference in Bayesian networks
Journal of the ACM (JACM)
Data perturbation for escaping local maxima in learning
Eighteenth national conference on Artificial intelligence
A Hybrid Approach to Discover Bayesian Networks From Databases Using Evolutionary Programming
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Linear Causal Model Discovery Using the MML criterion
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Bayesian Artificial Intelligence
Bayesian Artificial Intelligence
Computing upper and lower bounds on likelihoods in intractable networks
Computing upper and lower bounds on likelihoods in intractable networks
Learning equivalence classes of bayesian-network structures
The Journal of Machine Learning Research
Optimal structure identification with greedy search
The Journal of Machine Learning Research
On inclusion-driven learning of bayesian networks
The Journal of Machine Learning Research
Structure Search and Stability Enhancement of Bayesian Networks
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Learning Bayesian Networks from Incomplete Data Based on EMI Method
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Time and sample efficient discovery of Markov blankets and direct causal relations
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Exact Bayesian Structure Discovery in Bayesian Networks
The Journal of Machine Learning Research
Tractable learning of large Bayes net structures from sparse data
ICML '04 Proceedings of the twenty-first international conference on Machine learning
A differential semantics for jointree algorithms
Artificial Intelligence
A Method Based on Genetic Algorithms and Fuzzy Logic to Induce Bayesian Networks
ENC '04 Proceedings of the Fifth Mexican International Conference in Computer Science
Model Averaging for Prediction with Discrete Bayesian Networks
The Journal of Machine Learning Research
Large-Sample Learning of Bayesian Networks is NP-Hard
The Journal of Machine Learning Research
Active learning for Hidden Markov Models: objective functions and algorithms
ICML '05 Proceedings of the 22nd international conference on Machine learning
Tractable Bayesian learning of tree belief networks
Statistics and Computing
Correctness of Local Probability Propagation in Graphical Models with Loops
Neural Computation
Minds and Machines
Discover Bayesian Networks from Incomplete Data Using a Hybrid Evolutionary Algorithm
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Learning Bayesian Networks
The Journal of Machine Learning Research
Estimating High-Dimensional Directed Acyclic Graphs with the PC-Algorithm
The Journal of Machine Learning Research
Bayesian network learning algorithms using structural restrictions
International Journal of Approximate Reasoning
Strategies for improving the modeling and interpretability of Bayesian networks
Data & Knowledge Engineering
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
A hybrid Bayesian network learning method for constructing gene networks
Computational Biology and Chemistry
Max-Relevance and Min-Redundancy Greedy Bayesian Network Learning on High Dimensional Data
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 01
Learning Bayesian Network Structure from Distributed Homogeneous Data
SNPD '07 Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 03
"Ideal Parent" Structure Learning for Continuous Variable Bayesian Networks
The Journal of Machine Learning Research
Learning symmetric causal independence models
Machine Learning
Learning Bayesian networks from incomplete databases using a novel evolutionary algorithm
Decision Support Systems
Detection of Unfaithfulness and Robust Causal Inference
Minds and Machines
A Recursive Method for Structural Learning of Directed Acyclic Graphs
The Journal of Machine Learning Research
IEEE Transactions on Knowledge and Data Engineering
Approximation algorithms for restricted Bayesian network structures
Information Processing Letters
Adapting Bayes network structures to non-stationary domains
International Journal of Approximate Reasoning
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
Learning Dynamic Bayesian Networks Structure Based on Bayesian Optimization Algorithm
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
The Max-Relevance and Min-Redundancy Greedy Bayesian Network Learning Algorithm
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
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
Bayesian Network Structure Ensemble Learning
ADMA '07 Proceedings of the 3rd international conference on Advanced Data Mining and Applications
Shrinkage Estimator for Bayesian Network Parameters
ECML '07 Proceedings of the 18th European conference on Machine Learning
Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures
ECML '07 Proceedings of the 18th European conference on Machine Learning
Causal Reasoning with Ancestral Graphs
The Journal of Machine Learning Research
IDENTIFIABILITY IN CAUSAL BAYESIAN NETWORKS: A GENTLE INTRODUCTION
Cybernetics and Systems
Learning Causal Bayesian Networks from Incomplete Observational Data and Interventions
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Independence Decomposition in Dynamic Bayesian Networks
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
Learning Bayesian networks for discrete data
Computational Statistics & Data Analysis
Learning Bayesian Networks: A MAP Criterion for Joint Selection of Model Structure and Parameter
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
Upper bound for variational free energy of Bayesian networks
Machine Learning
Modeling and Reasoning with Bayesian Networks
Modeling and Reasoning with Bayesian Networks
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis
Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis
Improving the Reliability of Causal Discovery from Small Data Sets Using Argumentation
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Identifiability in causal Bayesian networks: a sound and complete algorithm
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
A comparison of novel and state-of-the-art polynomial Bayesian network learning algorithms
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Journal of Artificial Intelligence Research
Probabilistic partial evaluation: exploiting rule structure in probabilistic inference
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Exploiting contextual independence in probabilistic inference
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Exploiting causal independence in Bayesian network inference
Journal of Artificial Intelligence Research
Cached sufficient statistics for efficient machine learning with large datasets
Journal of Artificial Intelligence Research
Operations for learning with graphical models
Journal of Artificial Intelligence Research
Variational probabilistic inference and the QMR-DT network
Journal of Artificial Intelligence Research
A computational model for causal and diagnostic reasoning in inference systems
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 1
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
Compiling Bayesian networks using variable elimination
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Learning Bayesian network equivalence classes with Ant Colony optimization
Journal of Artificial Intelligence Research
Active learning for structure in Bayesian networks
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Local learning in probabilistic networks with hidden variables
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
The BATmobile: towards a Bayesian automated taxi
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
On the incompatibility of faithfulness and monotone DAG faithfulness
Artificial Intelligence
Building a GA from design principles for learning Bayesian networks
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
A parallel algorithm for learning Bayesian networks
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Mind change optimal learning of Bayes net structure
COLT'07 Proceedings of the 20th annual conference on Learning theory
Active learning of dynamic Bayesian networks in Markov decision processes
SARA'07 Proceedings of the 7th International conference on Abstraction, reformulation, and approximation
Using weak prior information on structures to learn Bayesian networks
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Parameter learning for Bayesian networks with strict qualitative influences
IDA'07 Proceedings of the 7th international conference on Intelligent data analysis
A hybrid approach for learning Markov equivalence classes of Bayesian network
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
Algorithm for graphical Bayesian modeling based on multiple regressions
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
An improved greedy Bayesian network learning algorithm on limited data
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Constructor: a system for the induction of probabilistic models
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
Learning causal trees from dependence information
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 2
Discovering the hidden structure of complex dynamic systems
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Comparing Bayesian network classifiers
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Fast learning from sparse data
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Causal discovery from a mixture of experimental and observational data
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
A hybrid anytime algorithm for the construction of causal models from sparse data
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Data analysis with bayesian networks: a bootstrap approach
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Learning bayesian network structure from massive datasets: the «sparse candidate« algorithm
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Loopy belief propagation for approximate inference: an empirical study
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Learning Bayesian networks from incomplete data with stochastic search algorithms
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
Finding optimal bayesian networks
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
A bayesian network scoring metric that is based on globally uniform parameter priors
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Unsupervised active learning in large domains
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Being Bayesian about network structure
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
On the use of skeletons when learning in Bayesian networks
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Confidence inference in bayesian networks
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Learning the dimensionality of hidden variables
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Enumerating Markov equivalence classes of acyclic digraph dels
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Improved learning of Bayesian networks
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Tractable inference for complex stochastic processes
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
The Bayesian structural EM algorithm
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Learning the structure of dynamic probabilistic networks
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Graphical models and exponential families
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
A multivariate discretization method for learning Bayesian networks from mixed data
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Context-specific approximation in probabilistic inference
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
A transformational characterization of equivalent Bayesian network structures
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Conditioning algorithms for exact and approximate inference in causal networks
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
A characterization of the dirichlet distribution with application to learning Bayesian networks
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Estimating continuous distributions in Bayesian classifiers
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Stochastic simulation algorithms for dynamic probabilistic networks
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Causal inference and causal explanation with background knowledge
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Causal inference in the presence of latent variables and selection bias
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Update rules for parameter estimation in Bayesian networks
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
A Bayesian approach to learning Bayesian networks with local structure
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Sequential update of Bayesian network structure
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Learning Bayesian nets that perform well
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Structure and parameter learning for causal independence and causal interaction models
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Score and information for recursive exponential models with incomplete data
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
An algorithm for finding minimum d-separating sets in belief networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
A sufficiently fast algorithm for finding close to optimal junction trees
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Context-specific independence in Bayesian networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Learning equivalence classes of Bayesian network structures
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Learning Bayesian networks with local structure
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
On the sample complexity of learning Bayesian networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Asymptotic model selection for directed networks with hidden variables*
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
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
Critical remarks on single link search in learning belief networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Approximation algorithms for the loop cutset problem
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Localized partial evaluation of belief networks
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Some properties of joint probability distributions
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Reduction of computational complexity in Bayesian networksthrough removal of weak dependences
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Using new data to refine a Bayesian network
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Global conditioning for probabilistic inference in belief networks
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
State-space abstraction for anytime evaluation of probabilistic networks
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Intercausal independence and heterogeneous factorization
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Causality in Bayesian belief networks
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
A generalization of the noisy-or model
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Using causal information and local measures to learn Bayesian networks
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
An algorithm for the construction of Bayesian network structures from data
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
A construction of Bayesian networks from databases based on an MDL principle
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
The use of conflicts in searching Bayesian networks
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
An algorithm for cooperative learning of bayesian network structure from data
CSCWD'04 Proceedings of the 8th international conference on Computer Supported Cooperative Work in Design I
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Automatic construction of bayesian network structures by means of a concurrent search mechanism
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Learning bayesian network equivalence classes from incomplete data
DS'06 Proceedings of the 9th international conference on Discovery Science
Bayesian network structure learning by recursive autonomy identification
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Improving bayesian network structure search with random variable aggregation hierarchies
ECML'06 Proceedings of the 17th European conference on Machine Learning
Learning bayesian networks structures based on memory binary particle swarm optimization
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
Robust independence testing for constraint-based learning of causal structure
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
On local optima in learning bayesian networks
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Theory refinement on Bayesian networks
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Detecting causal relations in the presence of unmeasured variables
UAI'91 Proceedings of the Seventh conference on Uncertainty in Artificial Intelligence
Learning bayesian networks does not have to be NP-Hard
MFCS'06 Proceedings of the 31st international conference on Mathematical Foundations of Computer Science
Learning hierarchical bayesian networks for large-scale data analysis
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
Learning hybrid bayesian networks by MML
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Causal discovery with prior information
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Learning causal bayesian networks from observations and experiments: a decision theoretic approach
MDAI'06 Proceedings of the Third international conference on Modeling Decisions for Artificial Intelligence
IEEE Transactions on Evolutionary Computation
Learning Bayesian network structures by searching for the best ordering with genetic algorithms
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Causal independence for probability assessment and inference using Bayesian networks
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Deterministic approximation of marginal probabilities in Bayes nets
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Artificial Intelligence in Medicine
Editorial: Bayesian networks in biomedicine and health-care
Artificial Intelligence in Medicine
PRIB '09 Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics
Learning Bayesian network equivalence classes with Ant Colony optimization
Journal of Artificial Intelligence Research
Causal discovery of dynamic bayesian networks
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
ACO-Based bayesian network ensembles for the hierarchical classification of ageing-related proteins
EvoBIO'13 Proceedings of the 11th European conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
A review on evolutionary algorithms in Bayesian network learning and inference tasks
Information Sciences: an International Journal
Towards a method for automatically evolving bayesian network classifiers
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
An efficient node ordering method using the conditional frequency for the K2 algorithm
Pattern Recognition Letters
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Bayesian networks have become a widely used method in the modelling of uncertain knowledge. Owing to the difficulty domain experts have in specifying them, techniques that learn Bayesian networks from data have become indispensable. Recently, however, there have been many important new developments in this field. This work takes a broad look at the literature on learning Bayesian networks-in particular their structure-from data. Specific topics are not focused on in detail, but it is hoped that all the major fields in the area are covered. This article is not intended to be a tutorial-for this, there are many books on the topic, which will be presented. However, an effort has been made to locate all the relevant publications, so that this paper can be used as a ready reference to find the works on particular sub-topics.