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aGrUM
0.14.2
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Abstract base class for all multi dimensionnal Causal Independency models. More...
#include <agrum/core/bijection.h>
#include <agrum/multidim/implementations/multiDimReadOnly.h>
#include <agrum/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 | |
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.