| dc.creator |
Lepar, Vasilica |
|
| dc.creator |
Shenoy, Prakash P. |
|
| dc.date |
1998-07 |
|
| dc.date |
2004-12-18T23:45:26Z |
|
| dc.date |
2004-12-18T23:45:26Z |
|
| dc.date.accessioned |
2022-05-18T11:16:05Z |
|
| dc.date.available |
2022-05-18T11:16:05Z |
|
| dc.identifier |
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. |
|
| dc.identifier |
1-55860-555-X |
|
| dc.identifier |
http://hdl.handle.net/1808/171 |
|
| dc.identifier |
https://orcid.org/0000-0002-8425-896X |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/26728 |
|
| dc.description |
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. |
|
| dc.format |
165090 bytes |
|
| dc.format |
application/pdf |
|
| dc.language |
en_US |
|
| dc.publisher |
Morgan Kaufmann Publishers |
|
| dc.rights |
openAccess |
|
| dc.subject |
Lauritzen-spiegelhalter architecture |
|
| dc.subject |
Hugin architecture |
|
| dc.subject |
Shenoy-Shafer architecture |
|
| dc.subject |
Computing marginals |
|
| dc.title |
A Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability Distributions |
|
| dc.type |
Book chapter |
|