An efficient Bayesian network structure learning algorithm based on structural information

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X. <i>On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling</i>

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Approximating discrete probability distributions with dependence trees

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