Package de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures.pmmMeasures

Provides the facilities to learn the structure of a BayesianNetworkScoringFunction as a permuted Markov model using a number of measures to define a rating of structures

See:
Description

Class Summary

PMMExplainingAwayResidual	Class for the network structure of a BayesianNetworkScoringFunction that is a permuted Markov model based on the explaining away residual.
PMMExplainingAwayResidual.PMMExplainingAwayResidualParameterSet	Class for the parameters of a PMMExplainingAwayResidual structure Measure.
PMMMutualInformation	Class for the network structure of a BayesianNetworkScoringFunction that is a permuted Markov model based on mutual information.
PMMMutualInformation.PMMMutualInformationParameterSet	Class for the parameters of a PMMMutualInformation structure Measure.

Package de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures.pmmMeasures Description

Provides the facilities to learn the structure of a BayesianNetworkScoringFunction as a permuted Markov model using a number of measures to define a rating of structures.

See Also:

de.jstacs.parameters