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Learning Continuous High-Dimensional Models using Mutual Information and Copula Bayesian Networks
Author(s) -
Marvin Lasserre,
Régis Lebrun,
Pierre-Henri Wuillemin
Publication year - 2021
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - mutual information , bayesian network , conditional mutual information , estimator , conditional entropy , conditional dependence , computer science , conditional independence , entropy (arrow of time) , copula (linguistics) , graphical model , mathematics , parametric statistics , artificial intelligence , bivariate analysis , machine learning , algorithm , econometrics , principle of maximum entropy , statistics , physics , quantum mechanics

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