Simplifying Explanations in Bayesian Belief Networks (1994)
| Venue: | International Journal of Uncertainty, Fuzziness and KnowledgeBased Systems (IJUFKS |
| Citations: | 2 - 1 self |
BibTeX
@ARTICLE{Campos94simplifyingexplanations,
author = {Luis M. de Campos and José A. Gámez and Serafín Moral},
title = {Simplifying Explanations in Bayesian Belief Networks},
journal = {International Journal of Uncertainty, Fuzziness and KnowledgeBased Systems (IJUFKS},
year = {1994},
volume = {2},
pages = {167--196}
}
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Abstract
Abductive inference in Bayesian belief networks is intended as the process of generating the K most probable configurations given an observed evidence. These configurations are called explanations and in most of the approaches found in the literature, all the explanations have the same number of literals. In this paper we study how to simplify the explanations in such a way that the resulting configurations are still accounting for the observed facts.
