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Partial abductive inference in Bayesian belief networks by simulated annealing

✍ Scribed by Luis M. de Campos; José A. Gámez; Serafı́n Moral

Book ID: 108457752
Publisher: Elsevier Science
Year: 2001
Tongue: English
Weight: 202 KB
Volume: 27
Category: Article
ISSN: 0888-613X
DOI: 10.1016/s0888-613x(01)00043-3

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Partial abductive inference in Bayesian belief networks (BBNs) is intended as the process of generating the K most probable con®gurations for a set of unobserved variables (the explanation set). This problem is NP-hard and so exact computation is not always possible. In previous works genetic algori