Hyperparameter sensitivity revisited

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Tomi Silander ;
Proceedings of The 3rd International Workshop on Advanced Methodologies for Bayesian Networks, PMLR 73:7-7, 2017.

Abstract

The BDeu scoring criterion for learning Bayesian network structures is known to be very sensitive to the equivalent sample size hyper-parameter. Recently some authors have suggested alternative Bayesian scoring criteria that appear to behave better than BDeu. So is the problem solved? We will review the problem and suggested solutions and present empirical assessment of the current situation.

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