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Global score metric based structure learning

\epsfig{file=images/global.algorithms.eps,height=8cm}

Common options for cross-validation based algorithms are:
initAsNaiveBayes, markovBlanketClassifier and maxNrOfParents (see Section 2 for description).

Further, for each of the cross-validation based algorithms the CVType can be chosen out of the following:

Finally, the useProb flag indicates whether the accuracy of the classifier should be estimated using the zero-one loss (if set to false) or using the estimated probability of the class.

\epsfig{file=images/global.k2.eps,height=6cm}

The following search algorithms are implemented: K2, HillClimbing, RepeatedHillClimber, TAN, Tabu Search, Simulated Annealing and Genetic Search. See Section 2 for a description of the specific options for those algorithms.


next up previous contents
Next: Fixed structure 'learning' Up: Bayesian Network Classifiers in Previous: Conditional independence test based   Contents
Remco Bouckaert 2008-05-12