Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Learning Bayesian networks from data: an information-theory based approach
Artificial Intelligence
Optimal structure identification with greedy search
The Journal of Machine Learning Research
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
Learning bayesian network structure from massive datasets: the «sparse candidate« algorithm
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Large-sample learning of bayesian networks is NP-hard
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Nasopharyngeal Carcinoma Data Analysis with a Novel Bayesian Network Skeleton Learning Algorithm
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures
ECML '07 Proceedings of the 18th European conference on Machine Learning
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Artificial Intelligence Review
Influence of Prior Knowledge in Constraint-Based Learning of Gene Regulatory Networks
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Review: learning bayesian networks: Approaches and issues
The Knowledge Engineering Review
Reverse engineering of gene regulatory networks from biological data
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Maximum Likelihood Estimation Over Directed Acyclic Gaussian Graphs
Statistical Analysis and Data Mining
The Journal of Machine Learning Research
Two optimal strategies for active learning of causal models from interventional data
International Journal of Approximate Reasoning
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We define a generalized strategy eliminability criterion for bimatrix games that considers whether a given strategy is eliminable relative to given dominator & eliminee subsets of the players' strategies. We show that this definition spans a spectrum ...