Explaining Naive Bayes Classifications (2003)

by Duane Szafron , Russell Greiner , Paul Lu , David Wishart , Cam Macdonell , John Anvik , Brett Poulin , Zhiyong Lu
Citations:8 - 7 self

Active Bibliography

9 Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains – Helge Langseth, Thomas D. Nielsen, Richard Dybowski - 2003
1 Prognosis of High-Grade Carcinoid Tumor Patients using Dynamic Limited-Memory Influence Diagrams ∗ – Marcel A. J. Van Gerven, Francisco J. Díez, Babs G. Taal, Peter J. F. Lucas
BIOINFORMATICS ORIGINAL PAPER – Andrei S. Rodin, Eric Boerwinkle - 2005
Research Track Paper Interestingness of Frequent Itemsets Using Bayesian Networks as Background Knowledge – Szymon Jaroszewicz, Dan A. Simovici
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
30 Interestingness of Frequent Itemsets Using Bayesian Networks as Background Knowledge – Szymon Jaroszewicz - 2004
16 A Novel Strategy For Microarray Quality Control Using Bayesian Networks – Sampsa Hautaniemi, Henrik Edgren, Petri Vesanen - 2003
A Multivariate Probabilistic Method for Comparing Two Clinical Datasets – Gilles Clermont, Yuriy Sverchkov, Milos Hauskrecht, Shyam Visweswaran, Gregory F. Cooper
8 Discriminative model selection for belief net structures – Yuhong Guo, Russ Greiner - 2005
58 Structural extension to logistic regression: Discriminative parameter learning of belief net classifiers – Russell Greiner, Xiaoyuan Su, Bin Shen, Wei Zhou - 2002
2 Quantifying the Uncertainty of a Belief Net Response: Bayesian Error-Bars for Belief Net Inference – Tim Van Allen, Ajit Singh, Russell Greiner, Peter Hooper
An Empirical Investigation of the MDL Principle – Tim Van Allen, Chris Dutchyn, Russ Greiner, Tim Van, Allen Chris, Dutchyn Russ Greiner
2 Learning to Parse Images – Yee Whye Teh - 2000
Bagged Structure Learning of Bayesian Networks – Gal Elidan
7 Using mutual information for adaptive item comparison and student assessment – Chao-lin Liu - 2005
30 What HMMs can do – Jeff Bilmes - 2002
14 Using probabilistic reasoning to automate software tuning – David Gerard Sullivan - 2003
12 Towards Perceptual Intelligence: Statistical Modeling of Human Individual and Interactive Behaviors – Nuria M. Oliver - 1995