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| Title: | A Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability Distributions |
| Authors: | Lepar, Vasilica
Shenoy, Prakash P. |
| Keywords: | Lauritzen-Spiegelhalter architecture
Hugin architecture
Shenoy-Shafer architecture
Computing marginals |
| Issue Date: | Jul-1998 |
| Publisher: | Morgan Kaufmann Publishers |
| Extent: | 165090 bytes |
| Type: | Book chapter |
| 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. |
| 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. |
| URI: | http://hdl.handle.net/1808/171 |
| ISBN: | 1-55860-555-X |
| Appears in Collections: | School of Business Articles
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