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A Generalization of the Noisy-Or Model

arXiv 1303.1479 ↗First posted 6 Mar 2013cs.AIcited by 5

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Abstract (arXiv)

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.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Mar 2013.

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5 papers.