Integrating Probability Constraints into Bayesian Nets

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dc.contributor.authorPeng, Yun
dc.contributor.authorZhang, Shenyong
dc.date.accessioned2018-11-19T20:55:00Z
dc.date.available2018-11-19T20:55:00Z
dc.date.issued2010-11-30
dc.descriptionProceeding of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligenceen_US
dc.description.abstractThis 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.en_US
dc.description.sponsorshipThis work was supported in part by NIST award 60NANB6- D6206 and the China Scholarship Council (CSC).en_US
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/528/Integrating-Probability-Constraints-into-Bayesian-Netsen_US
dc.format.extent2 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.genrepreprints
dc.identifierdoi:10.13016/M2Z60C59J
dc.identifier.citationYun 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-Netsen_US
dc.identifier.urihttp://hdl.handle.net/11603/12065
dc.language.isoen_USen_US
dc.publisherIOS Pressen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectIntegratingen_US
dc.subjectProbabilityen_US
dc.subjectConstraintsen_US
dc.subjectBayesian Netsen_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleIntegrating Probability Constraints into Bayesian Netsen_US
dc.typeTexten_US

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