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- W2039394441 abstract "We introduce a probabilistic formalism handling both Markov random fields of bounded tree width and probabilistic context-free grammars. Our models are based on case-factor diagrams (CFDs) which are similar to binary decision diagrams (BDDs) but are more concise for circuits of bounded tree width. A probabilistic model consists of a CFD defining a feasible set of Boolean assignments and a weight (or cost) for each individual Boolean variable. We give versions of the inside–outside algorithm and the Viterbi algorithm for these models." @default.
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- W2039394441 date "2008-02-01" @default.
- W2039394441 modified "2023-09-29" @default.
- W2039394441 title "Case-factor diagrams for structured probabilistic modeling" @default.
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- W2039394441 doi "https://doi.org/10.1016/j.jcss.2007.04.015" @default.
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