Module es.upm.fi.cig.multictbnc

Package es.upm.fi.cig.multictbnc.models.submodels

package es.upm.fi.cig.multictbnc.models.submodels
  • Classes
    Class
    Description
    DAG_maxK_MultiCTBNC<NodeTypeBN extends Node,NodeTypeCTBN extends Node>
    Implements a Multi-CTBNC where the class subgraph is formed by a Bayesian network, while the feature subgraph is a K-dependence continuous-time Bayesian network, i.e., the feature nodes are limited to have K parents (apart of the class variables).
    Empty_digraph_MultiCTBNC<NodeTypeBN extends Node,NodeTypeCTBN extends Node>
    Implements a Multi-CTBNC with an empty class subgraph.
    Empty_maxK_MultiCTBNC<NodeTypeBN extends Node,NodeTypeCTBN extends Node>
    Implements a Multi-CTBNC with an empty class subgraph and a K-dependence continuous-time Bayesian network for the feature subgraph, i.e., the feature nodes are limited to having K parents (apart of the class variables).
    MultiCTNBC<NodeTypeBN extends Node,NodeTypeCTBN extends Node>
    Specifies the structure constraints of a multidimensional continuous-time naive Bayes classifier (Multi-CTBNC) where any subgraph has arcs except the bridge subgraph (fully naive multi-dimensional classifier).