Inference Complexity as a Model-Selection Criterion for Learning Bayesian Networks - researchr publication authors

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Alina Beygelzimer, Irina Rish. Inference Complexity as a Model-Selection Criterion for Learning Bayesian Networks. In Dieter Fensel, Fausto Giunchiglia, Deborah L. McGuinness, Mary-Anne Williams, editors, Proceedings of the Eights International Conference on Principles and Knowledge Representation and Reasoning (KR-02), Toulouse, France, April 22-25, 2002. pages 558-567, Morgan Kaufmann, 2002.

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