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| DC Field | Value | Language |
|---|
| dc.contributor.author | Lepar, Vasilica | - |
| dc.contributor.author | Shenoy, Prakash P. | - |
| dc.date.accessioned | 2004-12-18T23:45:26Z | - |
| dc.date.available | 2004-12-18T23:45:26Z | - |
| dc.date.issued | 1998-07 | - |
| dc.identifier.citation | Lepar, 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. | en |
| dc.identifier.isbn | 1-55860-555-X | - |
| dc.identifier.uri | http://hdl.handle.net/1808/171 | - |
| dc.description.abstract | In 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. | en |
| dc.format.extent | 165090 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en_US | - |
| dc.publisher | Morgan Kaufmann Publishers | en |
| dc.subject | Lauritzen-Spiegelhalter architecture | en |
| dc.subject | Hugin architecture | en |
| dc.subject | Shenoy-Shafer architecture | en |
| dc.subject | Computing marginals | en |
| dc.title | A Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability Distributions | en |
| dc.type | Book chapter | en |
| Appears in Collections: | School of Business Articles
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