IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning belief networks from data: an information theory based approach
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
A Formalism for Building Causal Polytree Structures Using Data Distributions
ISMIS '00 Proceedings of the 12th International Symposium on Foundations of Intelligent Systems
ISMDA '00 Proceedings of the First International Symposium on Medical Data Analysis
Optimized Algorithm for Learning Bayesian Network from Data
ECSQARU '95 Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty
On inclusion-driven learning of bayesian networks
The Journal of Machine Learning Research
Learning probabilistic networks
The Knowledge Engineering Review
Exact Bayesian Structure Discovery in Bayesian Networks
The Journal of Machine Learning Research
A formal approach to using data distributions for building causal polytree structures
Information Sciences—Informatics and Computer Science: An International Journal
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Towards scalable and data efficient learning of Markov boundaries
International Journal of Approximate Reasoning
Strategies for improving the modeling and interpretability of Bayesian networks
Data & Knowledge Engineering
A kernel-based causal learning algorithm
Proceedings of the 24th international conference on Machine learning
An evolutionary computing approach to probabilistic reasoning on bayesian networks
Evolutionary Computation
Bayesian networks with a logistic regression model for the conditional probabilities
International Journal of Approximate Reasoning
Journal of Artificial Intelligence Research
Exploiting association and correlation rules parameters for learning Bayesian networks
Intelligent Data Analysis
Constructing Bayesian networks from association analysis
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Modelling multiple-classifier relationships using Bayesian belief networks
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
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
Local learning algorithm for markov blanket discovery
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Fast Markov blanket discovery algorithm via local learning within single pass
Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence
A branch-and-bound algorithm for MDL learning Bayesian networks
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Improved learning of Bayesian networks
UAI'01 Proceedings of the Seventeenth 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
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
An algorithm for the construction of Bayesian network structures from data
UAI'93 Proceedings of the Ninth international 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
Scalable, efficient and correct learning of markov boundaries under the faithfulness assumption
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Conservative independence-based causal structure learning in absence of adjacency faithfulness
International Journal of Approximate Reasoning
FPGA implementation of particle swarm optimization for Bayesian network learning
Computers and Electrical Engineering
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