Learning Bayesian Networks from Data: An Information-Theory Based Approach

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by Jie Cheng , Russell Greiner , Jonathan Kelly , David Bell , Weiru Liu
Citations:93 - 5 self

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35 Learning Bayesian Networks from Data: An Efficient Approach Based on Information Theory – Jie Cheng, David Bell, Weiru Liu - 1997
564 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
172 A Guide to the Literature on Learning Probabilistic Networks From Data – Wray Buntine - 1996
23 A `Microscopic' Study of Minimum Entropy Search in Learning Decomposable Markov Networks – Y. Xiang, S.K.M. Wong, N. Cercone - 1995
Bayesian AI Tutorial – Kevin B. Korb, Ann E. Nicholson
15 Searching for Bayesian Network Structures in the Space of Restricted Acyclic Aprtially Directed Graphs – Silva Acid, Luis M. de Campos - 2003
36 Learning Probabilistic Networks – Paul J Krause - 1998
unknown title – Learning Bayesian
849 A tutorial on learning with Bayesian networks – David Heckerman - 1995
12 Learning Bayes net structure from sparse data sets – Kevin P. Murphy - 2001
913 Learning Bayesian networks: The combination of knowledge and statistical data – David Heckerman, David M. Chickering - 1995
3 Learning Bayesian Networks for Solving Real-World Problems – Moninder Singh - 1998
19 Learning Causal Networks from Data: A survey and a new algorithm for recovering possibilistic causal networks – Ramon Sangüesa, Ulises Cortés - 1997
92 A characterization of Markov equivalence classes for acyclic digraphs – Steen A. Andersson, David Madigan, Michael D. Perlman - 1995
587 Bayesian Network Classifiers – Nir Friedman, Dan Geiger, Moises Goldszmidt - 1997
3 A Bayesian Local Causal Discovery Framework – Subramani Mani - 2005
17 Learning with Mixtures of Trees – Marina Meila-Predoviciu - 1999
2 Information Fusion, Causal Probabilistic Network And Probanet II: Inference Algorithms and Probanet System – Heping Pan, Daniel McMichael, Marta Lendjel - 1997
58 A Bayesian approach to learning causal networks – David Heckerman - 1995