Integrating Probability Constraints into Bayesian Nets

Links to Files

https://ebiquity.umbc.edu/paper/html/id/528/Integrating-Probability-Constraints-into-Bayesian-Nets

Permanent Link

http://hdl.handle.net/11603/12065

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UMBC Computer Science and Electrical Engineering Department
UMBC Faculty Collection

Author/Creator

Author/Creator ORCID

Date

2010-11-30

Type of Work

conference papers and proceedings
preprints
Text

Department

Program

Citation of Original Publication

Yun Peng and Shenyong Zhang, Integrating Probability Constraints into Bayesian Nets, Proceeding of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence, 2010, https://ebiquity.umbc.edu/paper/html/id/528/Integrating-Probability-Constraints-into-Bayesian-Nets

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Subjects

Integrating
Probability
Constraints
Bayesian Nets
UMBC Ebiquity Research Group

Abstract

This paper presents a formal convergence proof for EIPFP, an algorithm that integrates low dimensional probabilistic constraints into a Bayesian network (BN) based on the mathematical procedure IPFP. It also extends E-IPFP to deal with constraints that are inconsistent with each other or with the BN structure.