Using Value-Based Potentials for Making Approximate Inference on Probabilistic Graphical Models

The computerization of many everyday tasks generates vast amounts of data, and this has lead to the development of machine-learning methods which are capable of extracting useful information from the data so that the data can be used in future decision-making processes. For a long time now, a number...

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Bibliographic Details

Published in:	Mathematics
Main Authors:	Pedro Bonilla-Nadal, Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Ofelia Paula Retamero
Format:	Article
Language:	English
Published:	MDPI AG 2022-07-01
Subjects:	probabilistic graphical models bayesian networks value-based potentials approximate inference medical applications
Online Access:	https://www.mdpi.com/2227-7390/10/14/2542