A Generalization of the Noisy-Or Model
Artificial Intelligence
2013-03-08 v1
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.
Keywords
Cite
@article{arxiv.1303.1479,
title = {A Generalization of the Noisy-Or Model},
author = {Sampath Srinivas},
journal= {arXiv preprint arXiv:1303.1479},
year = {2013}
}
Comments
Appears in Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence (UAI1993)