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Robust classification models based on the ensemble methodology are proposed in the paper. The main feature of the models is that the precise vector of weights assigned for examples in the training set at each iteration of boosting is replaced by a local convex set of weight vectors. The minimax strategy is used for building weak classifiers at each iteration. The local sets of weights are constructed...
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