Algorithms for Bayesian belief-network precomputation.

Abstract

Bayesian belief networks provide an intuitive and concise means of representing probabilistic relationships among the variables in expert systems. A major drawback to this methodology is its computational complexity. We present an introduction to belief networks, and describe methods for precomputing, or caching, part of a belief network based on metrics of… (More)

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@article{Herskovits1991AlgorithmsFB, title={Algorithms for Bayesian belief-network precomputation.}, author={Edward Herskovits and Gregory F. Cooper}, journal={Methods of information in medicine}, year={1991}, volume={30 2}, pages={81-9} }