Similarity Networks for the Construction of Multiple-Faults Belief Networks
arXiv:1304.1085
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.
Appears in Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence (UAI1990)