A Generalization of the Noisy-Or Model
arXiv:1303.1479
Abstract
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.
Appears in Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence (UAI1993)