When discriminative learning of Bayesian network parameters is easy (2003)

by Hannes Wettig , Peter Griinwald , Teemu Roos , Petri Myllymaki , Henry Tirri
Venue:In Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence
Citations:7 - 1 self

Active Bibliography

15 On Discriminative Bayesian Network Classifiers and Logistic Regression – Teemu Roos, Hannes Wettig, Peter Grünwald, Petri Myllymäki, Henry Tirri, Pedro Larrañaga, Jose A. Lozano, Jose M. Peña, Iñaki Inza - 2005
4 Supervised Learning of Bayesian Network Parameters Made Easy – Hannes Wettig, Peter Grünwald, Teemu Roos, Petri Myllymäki, Henry Tirri - 2002
3 Fast Factored Density Estimation and Compression with Bayesian Networks – Scott Davies, John Lafferty - 2002
7 Mix-nets: Factored Mixtures of Gaussians in Bayesian Networks with Mixed Continuous And Discrete Variables – Scott Davies, Andrew Moore - 2000
2 Supervised Naive Bayes Parameters – Hannes Wettig - 2002
A Bayesian Approach to Learning in Fault Isolation – Hannes Wettig, Tomi Silander, Mattias Nyberg
8 Boosted Bayesian Network Classifiers – Yushi Jing, Vladimir Pavlović, James M. Rehg
5 Selection of generative models in classification – Guillaume Bouchard, Gilles Celeux - 2006
Latent Classification Models for Binary Data – Helge Langseth A, Thomas D. Nielsen B
de rechercheModel selection in supervised classification – Guillaume Bouchard, Gilles Celeux, Guillaume Bouchard, Gilles Celeux, Projets Select
2 Latent Classification Models for Binary Data – Helge Langseth, Thomas D. Nielsen - 2009
10 Robust bayesian linear classifier ensembles – Jesús Cerquides, Ramon López De Màntaras - 2005
1 Order-based Discriminative Structure Learning for Bayesian Network Classifiers – Franz Pernkopf, Jeff Bilmes
Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers – Franz Pernkopf, Jeff A. Bilmes, Russ Greiner
24 Irrelevance and parameter learning in Bayesian networks – Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwin - 1996
16 Efficient discriminative learning of bayesian network classifier via boosted augmented naive bayes – Yushi Jing, Vladimir Pavlović, James M. Rehg - 2005
1 Generative Prior Knowledge for Discriminative Classification – Arkady Epshteyn, Gerald Dejong
Journal of Machine Learning Research (2008) Submitted; Published Semi-naive Bayesian Classification – Fei Zheng, Geoffrey I. Webb
63 Learning Bayesian network classifiers by maximizing conditional likelihood – Daniel Grossman, Pedro Domingos - 2004