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arXiv · 1304.2377

Updating Probabilities in Multiply-Connected Belief Networks

Jaap Suermondt·Gregory F. Cooper
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Abstract

This paper focuses on probability updates in multiply-connected belief networks. Pearl has designed the method of conditioning, which enables us to apply his algorithm for belief updates in singly-connected networks to multiply-connected belief networks by selecting a loop-cutset for the network and instantiating these loop-cutset nodes. We discuss conditions that need to be satisfied by the selected nodes. We present a heuristic algorithm for finding a loop-cutset that satisfies these conditions.

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Jaap Suermondt, Gregory F. Cooper. 2013-03-27. Updating Probabilities in Multiply-Connected Belief Networks. https://arxiv.org/abs/1304.2377

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