Sisterhood of Classifiers: A Comparative Study of Naive Bayes and Noisy-or Networks

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by David Chen
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579 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
607 Bayesian Network Classifiers – Nir Friedman, Dan Geiger, Moises Goldszmidt - 1997
753 Using Bayesian networks to analyze expression data – Nir Friedman, Michal Linial, Iftach Nachman - 2000
520 Learning probabilistic relational models – Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer - 1999
819 Text Classification from Labeled and Unlabeled Documents using EM – Kamal Nigam, Andrew Kachites Mccallum, Sebastian Thrun, Tom Mitchell - 1999
845 AN INTRODUCTION TO VARIATIONAL METHODS FOR GRAPHICAL MODELS – Michael I. Jordan, Zoubin Ghahramani , et al.
924 Learning Bayesian networks: The combination of knowledge and statistical data – David Heckerman, David M. Chickering - 1995
498 The Infinite Hidden Markov Model – Matthew J. Beal, Zoubin Ghahramani, Carl E. Rasmussen - 2002
539 Active Learning with Statistical Models – David A. Cohn, Zoubin Ghahramani, Michael I. Jordan - 1995