Probabilistic reasoning in expert systems: theory and algorithms
Probabilistic reasoning in expert systems: theory and algorithms
Introduction to Bayesian Networks
Introduction to Bayesian Networks
Probabilistic Networks and Expert Systems
Probabilistic Networks and Expert Systems
Uncertain Information Processing in Expert Systems
Uncertain Information Processing in Expert Systems
Bucket elimination: a unifying framework for probabilistic inference
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
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Given a Bayesian network relative to a set I of discrete random variables, we are interested in computing the probability distribution PA or the conditional probability distribution PA|B, where A and B are two disjoint subsets of I. The general idea of the algorithm of successive restrictions is to manage the succession of summations on all random variables out of the target A in order to keep on it a structure less constraining than the Bayesian network, but which allows saving in memory ; that is the structure of Bayesian Network of Level Two.