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

Provides the facilities to learn the structure of a BayesianNetworkScoringFunction as a Bayesian tree using a number of measures to define a rating of structures

See:
Description

Class Summary

BTExplainingAwayResidual	Structure learning Measure that computes a maximum spanning tree based on the explaining away residual and uses the resulting tree structure as structure of a Bayesian tree (special case of a Bayesian network) in a BayesianNetworkScoringFunction.
BTMutualInformation	Structure learning Measure that computes a maximum spanning tree based on mutual information and uses the resulting tree structure as structure of a Bayesian tree (special case of a Bayesian network) in a BayesianNetworkScoringFunction.

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

Provides the facilities to learn the structure of a BayesianNetworkScoringFunction as a Bayesian tree using a number of measures to define a rating of structures.

See Also:

de.jstacs.parameters