Learning Bayesian networks by hill climbing: efficient methods based on progressive restriction of the neighborhood

José A. Gámez, Juan L. Mateo, José Miguel Puerta. Learning Bayesian networks by hill climbing: efficient methods based on progressive restriction of the neighborhood. Data Min. Knowl. Discov., 22(1-2):106-148, 2011. [doi]

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