Representations and algorithms for efficient inference in Bayesian networks
Bayesian networks are used for building intelligent agents that act under uncertainty. They are a compact representation of agents' probabilistic knowledge. A Bayesian network can be viewed as representing a factorization of a full joint probability distribution into the multiplication of a set...
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| Language: | en_US |
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2012
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| Online Access: | http://hdl.handle.net/1957/33530 |