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A Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability Distributions

dc.contributor.authorLepar, Vasilica
dc.contributor.authorShenoy, Prakash P.
dc.date.accessioned2004-12-18T23:45:26Z
dc.date.available2004-12-18T23:45:26Z
dc.date.issued1998-07
dc.identifier.citationLepar, V. and P. P. Shenoy, "A Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability Distributions," in G. F. Cooper and S. Moral (eds.), Uncertainty in Artificial Intelligence, Vol. 14, 1998, pp. 328--337, Morgan Kaufmann, San Francisco, CA.
dc.identifier.isbn1-55860-555-X
dc.identifier.urihttp://hdl.handle.net/1808/171
dc.description.abstractIn the last decade, several architectures have been proposed for exact computation of marginals using local computation. In this paper, we compare three architectures—Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer—from the perspective of graphical structure for message propagation, message-passing scheme, computational efficiency, and storage efficiency.
dc.format.extent165090 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherMorgan Kaufmann Publishers
dc.subjectLauritzen-spiegelhalter architecture
dc.subjectHugin architecture
dc.subjectShenoy-Shafer architecture
dc.subjectComputing marginals
dc.titleA Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability Distributions
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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