Dirichlet Bayesian network scores and the maximum entropy principle
<p>A classic approach for learning Bayesian networks from data is to select the maximum a posteriori (MAP) network. In the case of discrete Bayesian networks, the MAP network is selected by maximising one of several possible Bayesian Dirichlet (BD) scores; the most famous is the Bayesian Diric...
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Proceedings of Machine Learning Research
2017
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