Using Bayesian networks for selecting classifiers in GP ensembles
We use a Bayesian network for combining the responses provided by decision tree ensembles. The ensembles are learned by a boosted Genetic programming. Bayesian networks are learned by a specifically devised evolutionary algorithm. The proposed approach strongly reduces the number of needed classifiers.
bayesian networks genetic programming classifier ensemble evolutionary computation