Cooperative Coevolutionary Ensemble Learning

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Cooperative Coevolutionary Ensemble Learning
Abstract. A new optimization technique is proposed for classifiers fusion — Cooperative Coevolutionary Ensemble Learning (CCEL). It is based on a specific multipopulational evolutionary algorithm — cooperative coevolution. It can be used as a wrapper over any kind of weak algorithms, learning procedures and fusion functions, for both classification and regression tasks. Experiments on the real-world problems from the UCI repository show that CCEL has a fairly high generalization performance and generates ensembles of much smaller size than boosting, bagging and random subspace method.
Daniel Kanevskiy, Konstantin Vorontsov
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where MCS
Authors Daniel Kanevskiy, Konstantin Vorontsov
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