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BayesianNetworkScoringFunction
as
a permuted Markov model using a number of measures to define a rating of structures
See:
Description
Class Summary | |
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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 . |
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.
de.jstacs.parameters
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