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An efficient algorithm for finding the M most probable configurationsin probabilistic expert systems
Home
Publications
An efficient algorithm for finding the M most probable configurationsin probabilistic expert systems
An efficient algorithm for finding the M most probable configurationsin probabilistic expert systems
DN
D. Nilsson
D. Nilsson
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1 January 1998
journal article
Published by
Springer Nature
in
Statistics and Computing
Vol. 8
(2)
,
159-173
https://doi.org/10.1023/a:1008990218483
Abstract
No abstract available
Keywords
BAYESIAN NETWORK
BELIEF REVISION
CHARGE
CONDITIONAL INDEPENDENCE
DIVIDE-AND-CONQUER
EVIDENCE
FLOW
JUNCTION TREE
MARGINALIZATION
MAXIMIZATION
MOST PROBABLE EXPLANATION
POTENTIAL FUNCTION
PROPAGATION
Cited by 82 articles