Bayesian Network Classification with Continuous Attributes: Getting the Best of Both Discretization and Parametric Fitting (1998)

by Nir Friedman , Moises Goldszmidt , Thomas J. Lee
Venue:In Proceedings of the International Conference on Machine Learning (ICML
Citations:23 - 2 self

Active Bibliography

451 Bayesian Network Classifiers – Nir Friedman, Dan Geiger, Moises Goldszmidt - 1997
72 Building Classifiers using Bayesian Networks – Nir Friedman, Moises Goldszmidt - 1996
156 A Guide to the Literature on Learning Probabilistic Networks From Data – Wray Buntine - 1996
3 Fast Factored Density Estimation and Compression with Bayesian Networks – Scott Davies, John Lafferty - 2002
50 Discretizing Continuous Attributes While Learning Bayesian Networks – Nir Friedman, Moises Goldszmidt - 1996
5 Supervised classification with conditional gaussian networks: Increasing the structure complexity from naive bayes – Aritz Pérez, Pedro Larrañaga, Iñaki Inza
9 Classification using Hierarchical Naïve Bayes models – Helge Langseth, Thomas D. Nielsen - 2002
12 Distribution of Mutual Information from Complete And Incomplete Data – Marcus Hutter, Marco Zaffalon - 2004
3 A Bayesian network classification methodology for gene expression data – Paul Helman, Robert Veroff, Susan R. Atlas, Cheryl Willman - 2004
3 Finite Mixture Model of Bounded Semi-Naive Bayesian Networks for Classification – Kaizhu Huang, Irwin King, Michael R. Lyu - 2003
Discriminative Naive Bayesian Classifiers – Kaizhu Huang Department, Kaizhu Huang
3 BAYES-NEAREST: a new Hybrid Classifier Combining Bayesian Network and Distance Based Algorithms – Elena Lazkano, Basilio Sierra - 2003
37 Structural extension to logistic regression: Discriminative parameter learning of belief net classifiers – Russell Greiner, Xiaoyuan Su, Bin Shen, Wei Zhou - 2002
2 KDCOM: A Knowledge Discovery Component Framework – Jesús Cerquides Bueno - 1998
530 Using Bayesian networks to analyze expression data – Nir Friedman, Michal Linial, Iftach Nachman - 2000
12 Using probabilistic reasoning to automate software tuning – David Gerard Sullivan - 2003
MLC++ Utilities 2.0 – Ronny Kohavi, Dan Sommerfield - 1996
94 Wrappers For Performance Enhancement And Oblivious Decision Graphs – Ron Kohavi, Yoav Shoham, Jerry Friedman - 1995
Error-Based and Entropy-Based Discretization of Continuous Features – Ron Kohavi Data, Ron Kohavi - 1996