Active Bibliography

563 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
9 Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains – Helge Langseth, Thomas D. Nielsen, Richard Dybowski - 2003
7 Bayesian Networks with Applications in Reliability Analysis – Helge Langseth - 2002
67 Graphical models and automatic speech recognition – Jeffrey A. Bilmes - 2003
17 Learning with Mixtures of Trees – Marina Meila-Predoviciu - 1999
Bayesian Modelling in Machine Learning: A Tutorial Review – Matthias Seeger - 2009
109 Learning with mixtures of trees – Marina Meilă, Michael I. Jordan - 2000
3 Fast Factored Density Estimation and Compression with Bayesian Networks – Scott Davies, John Lafferty - 2002
48 Hybrid Bayesian Networks for Reasoning about Complex Systems – Uri N. Lerner - 2002
Bayesian Decision Support in Medical Screening – Peter Lucas, Nico Karssemeijer
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers – Franz Pernkopf, Jeff A. Bilmes, Russ Greiner
2 Bayesian Networks for Genomic Analysis – Paola Sebastiani, Maria M. Abad, Marco F. Ramoni - 2004
Recognition The Graphical Models Team – Jhu Summer Workshop, Jeff A. Bilmes, Geoff Zweig Ibm, Karen Livescu Mit, Peng Xu, Kirk Jackson Dod, Yigal Br, Man Phonetact Inc, Eric S, Ness Speechworks, Eva Holtz, Bill Byrne, Jhu Summer Workshop, Geoff Zweig Ibm, Peng Xu, Kirk Jackson Dod, Yigal Br, Man Phonetact Inc, Eric S, Ness Speechworks, Eva Holtz, Bill Byrne Johns - 2001
1 Bethe Free Energy and Contrastive Divergence Approximations for Undirected Graphical Models – Yee Whye Teh, Yee Whye Teh - 2003
34 Probabilistic Logic Learning – Luc De Raedt, Kristian Kersting - 2004
9 Bayesian Networks in Reliability – Helge Langseth, Luigi Portinale - 2005
49 A comparison of algorithms for inference and learning in probabilistic graphical models – Brendan J. Frey, Nebojsa Jojic - 2005
The Organisation and Retrieval of Document Collections: A Machine Learning Approach – Alexei Vinokourov - 2003
36 Learning Probabilistic Networks – Paul J Krause - 1998