Package weka.classifiers.bayes.net.search.global

package weka.classifiers.bayes.net.search.global
  • Classes
    Class
    Description
    GeneticSearch
    This Bayes Network learning algorithm uses genetic search for finding a well scoring Bayes network structure.
    GlobalScoreSearchAlgorithm
    This Bayes Network learning algorithm uses cross validation to estimate classification accuracy.
    HillClimber
    This Bayes Network learning algorithm uses a hill climbing algorithm adding, deleting and reversing arcs.
    K2
    This Bayes Network learning algorithm uses a hill climbing algorithm restricted by an order on the variables.

    For more information see:

    G.F.
    RepeatedHillClimber
    This Bayes Network learning algorithm repeatedly uses hill climbing starting with a randomly generated network structure and return the best structure of the various runs.
    SimulatedAnnealing
    This Bayes Network learning algorithm uses the general purpose search method of simulated annealing to find a well scoring network structure.

    For more information see:

    R.R.
    TabuSearch
    This Bayes Network learning algorithm uses tabu search for finding a well scoring Bayes network structure.
    TAN
    This Bayes Network learning algorithm determines the maximum weight spanning tree and returns a Naive Bayes network augmented with a tree.

    For more information see:

    N.