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AdaBoost boosts the performance of a weak learner by training a committee of weak learners which learn different features of the training sample space with different emphasis and jointly perform classification or regression of each new data sample by a weighted cumulative vote.We use RBF kernel classifiers to demonstrate that boosting a Strong Learner generally contributes to performance degradation,...