Similarity Networks for the Construction of Multiple-Faults Belief Networks
Artificial Intelligence
2015-05-19 v2
Abstract
A similarity network is a tool for constructing belief networks for the diagnosis of a single fault. In this paper, we examine modifications to the similarity-network representation that facilitate the construction of belief networks for the diagnosis of multiple coexisting faults.
Keywords
Cite
@article{arxiv.1304.1085,
title = {Similarity Networks for the Construction of Multiple-Faults Belief Networks},
author = {David Heckerman},
journal= {arXiv preprint arXiv:1304.1085},
year = {2015}
}
Comments
Appears in Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence (UAI1990)