Dirichlet Bayesian network scores and the maximum relative entropy principle

Dirichlet Bayesian network scores and the maximum relative entropy principle

A classic approach for learning Bayesian networks from data is to identify a maximum a posteriori (MAP) network structure. In the case of discrete Bayesian networks, MAP networks are selected by maximising one of several possible Bayesian–Dirichlet (BD) scores; the most famous is the Bayesian–Dirich...

Bibliografski detalji
Glavni autor:	Scutari, M
Format:	Journal article
Izdano:	Springer 2018

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