abstract Ensemble methodology combines multiple learning schemes in order to improve the classification performance. An ensemble made of a large number of classifiers entails an increase in the computational cost, memory storage, and even a reduction in the predictive performance. Ensemble pruning has become an important task that lives up to these challenges. The thrust […]
October 8, 2019 Rachid SIKADOUR Division of System and Multimedia Architecture
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