Approximation of Marginal Probabilities While Learning Bayesian Networks
Computation of marginal probabilities in Bayesian Belief Networks is central to many probabilistic reasoning systems and automatic decision making systems. The process of belief updating in Bayesian Belief Networks (BBN) is a well-known computationally hard problem that has recently been approximate...
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NSUWorks
2000
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| Online Access: | http://nsuworks.nova.edu/gscis_etd/444 |