BayesianNetworkDiffSM
as
a Bayesian tree using a number of measures to define a rating of structures.See: Description
Class | Description |
---|---|
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
BayesianNetworkDiffSM
. |
BTExplainingAwayResidual.BTExplainingAwayResidualParameterSet |
Class for the parameters of a
BTExplainingAwayResidual structure
Measure . |
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
BayesianNetworkDiffSM
. |
BTMutualInformation.BTMutualInformationParameterSet |
Class for the parameters of a
BTMutualInformation structure
Measure . |
Enum | Description |
---|---|
BTMutualInformation.DataSource |
Enum defining the possible sources of data to compute the mutual
information. |
BayesianNetworkDiffSM
as
a Bayesian tree using a number of measures to define a rating of structures.
de.jstacs.parameters