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The discriminative learning of Bayesian networks benefits the classification accuracy as compared to generative learning. Previous approaches mostly learn either the structure or the parameters in a discriminative manner based on the scoring+ search paradigm. Many works have focused on structure learning by optimizing a discriminative scoring function but the resulted structure is still generative...
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