aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
SimpleMiic.h File Reference

The SimpleMiic algorithm. More...

#include <string>
#include <vector>
#include <agrum/config.h>
#include <agrum/BN/learning/Miic.h>
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Classes

class  gum::learning::SimpleMiic
 The miic learning algorithm. More...

Namespaces

namespace  gum
 gum is the global namespace for all aGrUM entities
namespace  gum::learning
 include the inlined functions if necessary

Detailed Description

The SimpleMiic algorithm.

The SimpleMIIC class implements the Miic algorithm https://doi.org/10.1371/journal.pcbi.1005662. without constraints. 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.

Author
Quentin FALCAND and Pierre-Henri WUILLEMIN(_at_LIP6) and Maria Virginia RUIZ CUEVAS

Definition in file SimpleMiic.h.