An empirical-Bayes score for discrete Bayesian networks
Bayesian network structure learning is often performed in a Bayesian setting, by evaluating candidate structures using their posterior probabilities for a given data set. Score-based algorithms then use those posterior probabilities as an objective function and return the maximum a posteriori networ...
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Journal of Machine Learning Research
2016
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