Supervised Learning of Bayesian Network Parameters Made Easy (2002)

by Hannes Wettig , Peter Grünwald , Teemu Roos , Petri Myllymäki , Henry Tirri
Venue:Level Perspective on Branch Architecture Performance, IEEE Micro-28
Citations:4 - 1 self

Active Bibliography

2 Supervised Naive Bayes Parameters – Hannes Wettig - 2002
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
7 Mix-nets: Factored Mixtures of Gaussians in Bayesian Networks with Mixed Continuous And Discrete Variables – Scott Davies, Andrew Moore - 2000
11 Classification using Hierarchical Naïve Bayes models – Helge Langseth, Thomas D. Nielsen - 2002
3 Fast Factored Density Estimation and Compression with Bayesian Networks – Scott Davies, John Lafferty - 2002
18 On supervised selection of Bayesian networks – Petri Kontkanen, Petri Myllymaki, Tomi Silander, Henry Tirri - 1999
9 Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains – Helge Langseth, Thomas D. Nielsen, Richard Dybowski - 2003
9 Latent classification models – Helge Langseth, Thomas D. Nielsen, Pedro Larrañaga, Jose A. Lozano, Jose M. Peña, Iñaki Inza - 2005
9 Classifier Learning with Supervised Marginal Likelihood – Petri Kontkanen, Petri Myllymäki, Henry Tirri
3 Unsupervised Bayesian Visualization of High-Dimensional Data – Petri Kontkanen, Jussi Lahtinen, Petri Myllymäki, Henry Tirri - 2000
58 Structural extension to logistic regression: Discriminative parameter learning of belief net classifiers – Russell Greiner, Xiaoyuan Su, Bin Shen, Wei Zhou - 2002
4 BioMed Central – Bmc Bioinformatics, Ling Qin, Yixin Chen, Yi Pan, Ling Chen, Open Access - 2006
50 Context-Specific Bayesian Clustering for Gene Expression Data – Yoseph Barash, Nir Friedman - 2002
1 Introduction to Learning Bayesian Networks from Data – Dirk Husmeier
72 The Minimum Description Length Principle and Reasoning under Uncertainty – Peter Daniel Grünwald - 1998
5 Semisupervised Learning Of Classifiers With Application To Human-Computer Interaction – Ira Cohen - 2003
156 Graphical Models and Exponential Families – Dan Geiger, Christopher Meek
19 Graphical models and exponential families – Dan Geiger, Christopher Meek - 1998
Bayesian Inference for Reliable Biomedical Signal Processing – Dipl Ing, Peter Sykacek - 2000