A Bayesian Method for the Induction of Probabilistic Networks from Data

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Citation: Gregory F. Cooper and Edward Herskovits. (1991) A Bayesian Method for the Induction of Probabilistic Networks from Data. In KSL-91-02, January,1991.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Gregory F. Cooper and Edward Herskovits
title A Bayesian Method for the Induction of Probabilistic Networks from Data
number KSL-91-02
institution Knowledge Systems, AI Laboratory
address Stanford, CA, USA
year 1991
month January
Bibtex more
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abstract This paper presents a Bayesian method for constructing probabilistic networks from a database of cases. In particular, we focus on constructing Bayesian belief networks. Applications include computer-assisted hypothesis testing, automated scientific discovery, and automated construction of probabilistic expert systems. We extend the basic method to handle missing data and hidden (latent) variables. We show how to perform probabilistic inference by averaging over the inferences of multiple belief networks. Results are presented of a preliminary evaluation of an algorithm for constructing a belief network from a database of cases. Finally, we relate the methods in this paper to previous work, and we discuss open problems.

KSL Technical Report ID: KSL-91-02
Facts about A Bayesian Method for the Induction of Probabilistic Networks from DataRDF feed
Abstract This paper presents a Bayesian method for … This paper presents a Bayesian method for constructing probabilistic networks from a database of cases. In particular, we focus on constructing Bayesian belief networks. Applications include computer-assisted hypothesis testing, automated scientific discovery, and automated construction of probabilistic expert systems. We extend the basic method to handle missing data and hidden (latent) variables. We show how to perform probabilistic inference by averaging over the inferences of multiple belief networks. Results are presented of a preliminary evaluation of an algorithm for constructing a belief network from a database of cases. Finally, we relate the methods in this paper to previous work, and we discuss open problems. evious work, and we discuss open problems.
Address Stanford, CA, USA  +
Author Gregory F. Cooper and Edward Herskovits  +
Bibtype techreport  +
Has author Gregory F. Cooper and Edward Herskovits  +
Has identifier KSL-91-02  +
Has publishing details January,1991  +
Has title A Bayesian Method for the Induction of Probabilistic Networks from Data  +
Has where published KSL-91-02  +
Has year 1991  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-91-02  +
Month January  +
Number KSL-91-02  +
Process note NO  +
Title A Bayesian Method for the Induction of Probabilistic Networks from Data  +
Year 1991  +
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