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dc.contributor.authorShafer, Glenn R.
dc.contributor.authorShenoy, Prakash P.
dc.date.accessioned2004-12-13T21:49:48Z
dc.date.available2004-12-13T21:49:48Z
dc.date.issued1991-07
dc.identifier.urihttp://hdl.handle.net/1808/143
dc.descriptionThis is an unpublished monograph that was widely distributed (and cited). It was first written in August 1988 and subseqently revised.
dc.description.abstractThe monograph describes theory and algorithms for computation of marginals using local computation that applies to a large number of domains including probability theory, Dempster-Shafer theory of belief functions, discrete optimization, and constraint satisfaction.
dc.description.sponsorshipResearch described in this monograph was funded by NSF grant IST-8610293, and three grants from KPMG Peat Marwick Foundation's Research Opportunities in Auditing program.
dc.format.extent1967413 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesSchool of Business Working Paper;No. 201
dc.subjectLocal computation
dc.subjectBayesian networks
dc.subjectDempster-Shafer belief function theory
dc.subjectConstraint satisfaction
dc.subjectDynamic programming
dc.subjectDiscrete optimization
dc.titleLocal Computation in Hypertrees
dc.typeBook
dc.typeWorking Paper
kusw.oastatusna
dc.identifier.orcidhttps://orcid.org/0000-0002-8425-896X
kusw.oapolicyThis item does not meet KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


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