Exploiting Causal Independence in Bayesian Network Inference

Abstract

A new method is proposed for exploiting causal independencies in exact Bayesian network inference. A Bayesian network can be viewed as representing a factorization of a joint probability into the multiplication of a set of conditional probabilities. We present a notion of causal independence that enables one to further factorize the conditional… (More)
DOI: 10.1613/jair.305

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@article{Zhang1996ExploitingCI, title={Exploiting Causal Independence in Bayesian Network Inference}, author={Nevin Lianwen Zhang and David L. Poole}, journal={J. Artif. Intell. Res.}, year={1996}, volume={5}, pages={301-328} }