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

Class Summary
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.

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