Learning Bayesian network equivalence classes using ant colony optimisation
Bayesian networks have become an indispensable tool in the modelling of uncertain knowledge. Conceptually, they consist of two parts: a directed acyclic graph called the structure, and conditional probability distributions attached to each node known as the parameters. As a result of their expressiv...
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University of Edinburgh
2009
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.738988 |