Integrating Probability Constraints into Bayesian Nets
Links to Fileshttps://ebiquity.umbc.edu/paper/html/id/528/Integrating-Probability-Constraints-into-Bayesian-Nets
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Type of Work2 pages
conference papers and proceedings preprints
Citation of Original PublicationYun 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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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.