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

by Geoff Hulten , David Maxwell Chickering , David Heckerman
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
594 Bayesian Network Classifiers – Nir Friedman, Dan Geiger, Moises Goldszmidt - 1997
568 Markov Logic Networks – Matthew Richardson, Pedro Domingos - 2006
512 Learning probabilistic relational models – Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer - 1999
741 Using Bayesian networks to analyze expression data – Nir Friedman, Michal Linial, Iftach Nachman - 2000
905 Learning Bayesian networks: The combination of knowledge and statistical data – David Heckerman, David M. Chickering - 1995
570 Evaluating collaborative filtering recommender systems – Jonathan L. Herlocker, Joseph A. Konstan, Loren G. Terveen, John, T. Riedl - 2004
627 Models and issues in data stream systems – Brian Babcock, Shivnath Babu, Mayur Datar, Rajeev Motwani, Jennifer Widom - 2002
614 Learning in graphical models – Michael I. Jordan - 2004