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By Peter Lucas,José A. Gámez,Antonio Salmerón Cerdan

This publication brings jointly very important issues of present study in probabilistic graphical modeling, studying from info and probabilistic inference. assurance contains such themes because the characterization of conditional independence, the training of graphical types with latent variables, and extensions to the effect diagram formalism in addition to vital program fields, similar to the keep an eye on of autos, bioinformatics and medicine.

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Advances in Probabilistic Graphical Models (Studies in Fuzziness and Soft Computing) by Peter Lucas,José A. Gámez,Antonio Salmerón Cerdan

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