Weighted Positive Binary Decision Diagrams for Exact Probabilistic Inference

18 Oct 2016Giso H. DalPeter J. F. Lucas

Recent work on weighted model counting has been very successfully applied to the problem of probabilistic inference in Bayesian networks. The probability distribution is encoded into a Boolean normal form and compiled to a target language, in order to represent local structure expressed among conditional probabilities more efficiently... (read more)

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