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aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
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Abstract base class for all multi dimensionnal Causal Independency models. More...
#include <agrum/base/core/bijection.h>#include <agrum/base/multidim/implementations/multiDimReadOnly.h>#include <agrum/base/multidim/ICIModels/multiDimICIModel_tpl.h>Go to the source code of this file.
Classes | |
| class | gum::MultiDimICIModel< GUM_SCALAR > |
| abstract class for Conditional Indepency Models More... | |
Namespaces | |
| namespace | gum |
| gum is the global namespace for all aGrUM entities | |
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)
Definition in file multiDimICIModel.h.