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

Class Summary

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.