A Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability Distributions
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Issue Date
1998-07Author
Lepar, Vasilica
Shenoy, Prakash P.
Publisher
Morgan Kaufmann Publishers
Format
165090 bytes
Type
Book chapter
Metadata
Show full item recordAbstract
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.
ISBN
1-55860-555-XCollections
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.
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