Learning Bayesian Networks from Dependency Networks: A Preliminary Study (2003)

by Geoff Hulten
Venue:in Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, Key West, FL
Citations:7 - 1 self

Active Bibliography

564 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
Learning in First-Order Probabilistic Representations – Matthew Richardson - 2003
2 LEARNING THE STRUCTURE OF BAYESIAN NETWORKS WITH CONSTRAINT SATISFACTION – Andrew S. Fast - 2010
93 Learning Bayesian Networks from Data: An Information-Theory Based Approach – Jie Cheng, Russell Greiner, Jonathan Kelly, David Bell, Weiru Liu
76 The max-min hill-climbing bayesian network structure learning algorithm – Ioannis Tsamardinos, Laura E. Brown, Constantin F. Aliferis - 2006
1 Bethe Free Energy and Contrastive Divergence Approximations for Undirected Graphical Models – Yee Whye Teh, Yee Whye Teh - 2003
Activity Understanding and Unusual Event Detection in Surveillance Videos Chen Change – unknown authors - 2010
587 Bayesian Network Classifiers – Nir Friedman, Dan Geiger, Moises Goldszmidt - 1997
3 Fast Factored Density Estimation and Compression with Bayesian Networks – Scott Davies, John Lafferty - 2002
1 Sequential Update of ADtrees – Josep Roure, Andrew W. Moore
40 Optimal reinsertion: A new search operator for accelerated and more accurate bayesian network structure learning – Andrew Moore, Dagscore D - 2003
1 Sisterhood of Classifiers: A Comparative Study of Naive Bayes and Noisy-or Networks – David Chen
7 Learning Markov Network Structure with Decision Trees – Daniel Lowd, Jesse Davis
Sparse Linear Identifiable Multivariate Modeling – Ricardo Henao, Ole Winther, Dtu Informatics, Richard Petersens Plads, Aapo Hyvärinen
1 Tree Augmented Classification of Binary Data Minimizing Stochastic Complexity – Mats Gyllenberg, Timo Koski - 2002
15 Searching for Bayesian Network Structures in the Space of Restricted Acyclic Aprtially Directed Graphs – Silva Acid, Luis M. de Campos - 2003
7 A Bayesian network classification methodology for gene expression data – Paul Helman, Robert Veroff, Susan R. Atlas, Cheryl Willman - 2004
202 Being Bayesian about network structure – Nir Friedman - 2000
8 Structural Learning of Dynamic Bayesian Networks in Speech Recognition – Murat Deviren - 2001