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aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
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The SimpleMiic algorithm. More...
Go to the source code of this file.
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 | |
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.
Definition in file SimpleMiic.h.