Héctor A. Rueda-Zárate

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Background A probabilistic graphical model is a representation of searched properties of random variables represented by nodes. The edges in the graph represent conditional independence properties used to obtain a number of valid factorizations of the joint probability distribution. There are different types of graphical models, Bayesian networks for(More)
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