Learning the structure of Bayesian networks with constraint satisfaction
A Bayesian network is graphical representation of the probabilistic relationships among set of variables and can be used to encode expert knowledge about uncertain domains. The structure of this model represents the set of conditional independencies among the variables in the data. Bayesian networks...
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Language: | ENG |
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ScholarWorks@UMass Amherst
2010
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Online Access: | https://scholarworks.umass.edu/dissertations/AAI3397699 |