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Binary Join Trees

dc.contributor.advisorhttp://orcid.org/0000-0002-8425-896X
dc.contributor.authorShenoy, Prakash P.
dc.date.accessioned2004-12-20T15:10:14Z
dc.date.available2004-12-20T15:10:14Z
dc.date.issued1996
dc.identifier.citationShenoy, P. P., "Binary Join Trees," in E. Horvitz and F. V. Jensen (eds.), Uncertainty in Artificial Intelligence, Vol. 12, 1996, pp. 492--499, Morgan Kaufmann, San Francisco, CA.
dc.identifier.isbn1-55860-412-X
dc.identifier.urihttp://hdl.handle.net/1808/178
dc.descriptionA longer and updated version of this paper appears in: Shenoy, P. P., "Binary Join Trees for Computing Marginals in the Shenoy-Shafer Architecture," International Journal of Approximate Reasoning, 17(2--3), 1997, 239--263 (available from <http://hdl.handle.net/1808/172>.
dc.description.abstractThe main goal of this paper is to describe a datastructure called binary join trees that are useful incomputing multiple marginals efficiently usingthe Shenoy-Shafer architecture. We define binaryjoin trees, describe their utility, and sketch a procedure for constructing them.
dc.format.extent173941 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherMorgan Kaufmann Publishers
dc.subjectComputing marginals
dc.subjectShenoy-Shafer architecture
dc.subjectJoin trees
dc.titleBinary Join Trees
dc.typeBook chapter
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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