#include <agrum/core/bijection.h>
#include <agrum/multidim/implementations/multiDimReadOnly.h>
#include <agrum/multidim/ICIModels/multiDimICIModel_tpl.h>

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Classes
class	gum::MultiDimICIModel< GUM_SCALAR >
	abstract class for Conditional Indepency Models More...

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	gum
	Copyright 2005-2019 Pierre-Henri WUILLEMIN et Christophe GONZALES (LIP6) {prenom.nom}_at_lip6.fr.

Detailed Description

This library is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public License along with this library. If not, see http://www.gnu.org/licenses/.

Abstract base class for all multi dimensionnal Causal Independency models

Independance of Causal Influence (ICI) is a method of defining a discrete distribution that can dramatically reduce the number of prior probabilities necessary to define a distribution. (see "The Noisy-Average Model for Local Probability Distributions", Zagorecki, 2003) (see also "Canonical Probabilistic Models for Knowledge Engineering", Diez, Druzdzel, 2007)

Author: Pierre-Henri WUILLEMIN et Christophe GONZALES

Definition in file multiDimICIModel.h.

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Detailed Description