Selection of Optimal Sub-ensembles of Classifiers through Evolutionary Game Theory

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