Learning Belief Networks in the Presence of Missing Values and Hidden Variables (1997)

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by Nir Friedman
Venue:Proceedings of the Fourteenth International Conference on Machine Learning
Citations:120 - 14 self

Active Bibliography

3 Learning Bayesian Networks for Solving Real-World Problems – Moninder Singh - 1998
587 Bayesian Network Classifiers – Nir Friedman, Dan Geiger, Moises Goldszmidt - 1997
15 Collective Mining of Bayesian Networks from Distributed Heterogeneous Data – R. Chen, K. Sivakumar, H. Kargupta - 2002
14 Theory refinement of bayesian networks with hidden variables – Sowmya Ramachandran - 1998
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
unknown title – Silvia Acid, Luis M. De Campos, Juan F. Huete - 2000
220 The Bayesian Structural EM Algorithm – Nir Friedman - 1998
64 Discretizing Continuous Attributes While Learning Bayesian Networks – Nir Friedman, Moises Goldszmidt - 1996
15 Searching for Bayesian Network Structures in the Space of Restricted Acyclic Aprtially Directed Graphs – Silva Acid, Luis M. de Campos - 2003
17 A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests – Luis M. de Campos - 2006
217 Learning the structure of dynamic probabilistic networks – Nir Friedman, Kevin Murphy, Stuart Russell - 1998
35 Learning Bayesian Networks from Data: An Efficient Approach Based on Information Theory – Jie Cheng, David Bell, Weiru Liu - 1997
93 Learning Bayesian Networks from Data: An Information-Theory Based Approach – Jie Cheng, Russell Greiner, Jonathan Kelly, David Bell, Weiru Liu
238 Learning Bayesian Networks With Local Structure – Nir Friedman, Moises Goldszmidt - 1996
1 Learning Bayesian Networks from Incomplete Data: An Efficient Method for Generating Approximate Predictive Distributions Abstract – Carsten Riggelsen
2 Induction of Selective Bayesian Network Classifiers – Moninder Singh, Gregory M. Provan, Pat Langley - 1996
13 Parameter Learning in Object Oriented Bayesian Networks – Helge Langseth, Olav Bangsø - 2001
unknown title – Learning Bayesian