Miic.h File Reference

The 3off2 algorithm. More...

#include <string>
#include <vector>
#include <agrum/BN/BayesNet.h>
#include <agrum/config.h>
#include <agrum/core/approximations/IApproximationSchemeConfiguration.h>
#include <agrum/core/approximations/approximationScheme.h>
#include <agrum/core/heap.h>
#include <agrum/graphs/DAG.h>
#include <agrum/graphs/mixedGraph.h>
#include <agrum/learning/scores_and_tests/correctedMutualInformation.h>

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Classes
class	gum::learning::GreaterPairOn2nd
class	gum::learning::GreaterAbsPairOn2nd
class	gum::learning::GreaterTupleOnLast
class	gum::learning::Miic
	The miic learning algorithm. More...

Namespaces
	gum
	gum is the global namespace for all aGrUM entities
	gum::learning

Detailed Description

The 3off2 algorithm.

The ThreeOffTwo class implements the 3off2 algorithm as proposed by Affeldt and al. in https://doi.org/10.1186/s12859-015-0856-x. It starts by eliminating edges that correspond to independent variables to build the skeleton of the graph, and then directs the remaining edges to get an essential graph. Latent variables can be detected using bi-directed arcs.

The variant MIIC is also implemented based on https://doi.org/10.1371/journal.pcbi.1005662. Only the orientation phase differs from 3off2, with a diffferent ranking method and different propagation rules.

Author

Quentin FALCAND and Pierre-Henri WUILLEMIN and Maria-Virginia RUIZ CUEVAS

Definition in file Miic.h.