Advances in probabilistic reasoning
作者： Dan Geiger , David Heckerman
DOI: 10.1016/B978-1-55860-203-8.50019-X
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摘要: This paper discuses multiple Bayesian networks representation paradigms for encoding asymmetric independence assertions. We offer three contributions: (1) an inference mechanism that makes explicit use of to speed up computations, (2) a simplified definition similarity and extensions their theory, (3) generalized scheme encodes more types assertions than do networks.
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