weka.classifiers.bayes.net.search.global

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Java Source Code / Java Documentation » Science » weka » weka.classifiers.bayes.net.search.global 
weka.classifiers.bayes.net.search.global
Java Source File NameTypeComment
GeneticSearch.javaClass This Bayes Network learning algorithm uses genetic search for finding a well scoring Bayes network structure.
GlobalScoreSearchAlgorithm.javaClass This Bayes Network learning algorithm uses cross validation to estimate classification accuracy.

Valid options are:

 -mbc
 Applies a Markov Blanket correction to the network structure, 
 after a network structure is learned.
HillClimber.javaClass This Bayes Network learning algorithm uses a hill climbing algorithm adding, deleting and reversing arcs.
K2.javaClass This Bayes Network learning algorithm uses a hill climbing algorithm restricted by an order on the variables.

For more information see:

G.F.
RepeatedHillClimber.javaClass 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.

Valid options are:

 -U <integer>
 Number of runs
 -A <seed>
 Random number seed
 -P <nr of parents>
 Maximum number of parents
 -R
 Use arc reversal operation.
 (default false)
 -N
 Initial structure is empty (instead of Naive Bayes)
 -mbc
 Applies a Markov Blanket correction to the network structure, 
 after a network structure is learned.
SimulatedAnnealing.javaClass 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.javaClass This Bayes Network learning algorithm uses tabu search for finding a well scoring Bayes network structure.
TAN.javaClass 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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