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arxiv: 1303.1479 · v1 · pith:NRHLS47Rnew · submitted 2013-03-06 · 💻 cs.AI

A Generalization of the Noisy-Or Model

classification 💻 cs.AI
keywords modelnoisy-orbayesianbooleangeneralizationnetworkspearlvariables
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The Noisy-Or model is convenient for describing a class of uncertain relationships in Bayesian networks [Pearl 1988]. Pearl describes the Noisy-Or model for Boolean variables. Here we generalize the model to nary input and output variables and to arbitrary functions other than the Boolean OR function. This generalization is a useful modeling aid for construction of Bayesian networks. We illustrate with some examples including digital circuit diagnosis and network reliability analysis.

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