Estimating Continuous Distributions in Bayesian Classifiers

Estimating Continuous Distributions in Bayesian Classifiers (1995)

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by George John , Pat Langley

Venue:	In Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence
Citations:	243 - 2 self

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Datum	Value	Source
TITLE	Estimating Continuous Distributions in Bayesian Classifiers	user correction - Legacy Corrections
AUTHOR NAME	George John	user correction - Legacy Corrections
AUTHOR AFFIL	Computer Science Dept.; Stanford University	user correction - Legacy Corrections
AUTHOR ADDR	Stanford, CA 94305	user correction - Legacy Corrections
AUTHOR NAME	Pat Langley	user correction - Legacy Corrections
AUTHOR AFFIL	Robotics Laboratory; Stanford University	user correction - Legacy Corrections
AUTHOR ADDR	Stanford, CA 94305	user correction - Legacy Corrections
ABSTRACT	When modeling a probability distribution with a Bayesian network, we are faced with the problem of how to handle continuous variables. Most previous work has either solved the problem by discretizing, or assumed that the data are generated by a single Gaussian. In this paper we abandon the normality assumption and instead use statistical methods for nonparametric density estimation. For a naive Bayesian classifier, we present experimental results on a variety of natural and artificial domains, comparing two methods of density estimation: assuming normality and modeling each conditional distribution with a single Gaussian; and using nonparametric kernel density estimation. We observe large reductions in error on several natural and artificial data sets, which suggests that kernel estimation is a useful tool for learning Bayesian models. In Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence, Morgan Kaufmann Publishers, San Mateo, 1995 1 Introduction In rec...	user correction - Legacy Corrections
YEAR	1995	INFERENCE
VENUE	In Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	338--345	INFERENCE
CITATIONS	25 found	ParsCit 1.0