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Dynamic ensemble selection (DES) is a mechanism for selecting an ensemble of competent classifiers from a pool of base classifiers, in order to classify a particular test sample. The size of this pool is user-defined, and yet is crucial for controlling the computational complexity and performance of a DES. An appropriate pool size depends on the choice of base classifiers, the underlying DES method...
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