Tree Augmented Classification of Binary Data Minimizing Stochastic Complexity (2002)


Download Links

by Mats Gyllenberg , Timo Koski
Citations:1 - 1 self

Active Bibliography

587 Bayesian Network Classifiers – Nir Friedman, Dan Geiger, Moises Goldszmidt - 1997
93 Learning Bayesian Networks from Data: An Information-Theory Based Approach – Jie Cheng, Russell Greiner, Jonathan Kelly, David Bell, Weiru Liu
35 Learning Bayesian Networks from Data: An Efficient Approach Based on Information Theory – Jie Cheng, David Bell, Weiru Liu - 1997
3 A Bayesian Local Causal Discovery Framework – Subramani Mani - 2005
7 Mix-nets: Factored Mixtures of Gaussians in Bayesian Networks with Mixed Continuous And Discrete Variables – Scott Davies, Andrew Moore - 2000
15 Searching for Bayesian Network Structures in the Space of Restricted Acyclic Aprtially Directed Graphs – Silva Acid, Luis M. de Campos - 2003
Article Learning Genetic Population Structures Using Minimization of Stochastic Complexity – Jukka Cor, Mats Gyllenberg, Timo Koski
3 Fast Factored Density Estimation and Compression with Bayesian Networks – Scott Davies, John Lafferty - 2002
564 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
7 A Bayesian network classification methodology for gene expression data – Paul Helman, Robert Veroff, Susan R. Atlas, Cheryl Willman - 2004
An Empirical Investigation of the MDL Principle – Tim Van Allen, Chris Dutchyn, Russ Greiner, Tim Van, Allen Chris, Dutchyn Russ Greiner
9 Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains – Helge Langseth, Thomas D. Nielsen, Richard Dybowski - 2003
14 The Posterior Probability of Bayes Nets with Strong Dependences – Gernot D. Kleiter - 1999
Bayesian AI Tutorial – Kevin B. Korb, Ann E. Nicholson
7 Finding Optimal Bayesian Network Given a Super-Structure – Eric Perrier, Seiya Imoto, Satoru Miyano, Max Chickering
43 An Algorithm for Bayesian Belief Network Construction from Data – Jie Cheng , David A. Bell, Weiru Liu - 1997
65 Learning Belief Networks from Data: An Information Theory Based Approach – Jie Cheng, David A. Bell, Weiru Liu
21 Learning Mixtures of Bayesian Networks – Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman - 1997
8 Bayes Optimal Instance-Based Learning – Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri - 1998