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Sequential Backward Selection
Wrapper method iteratively eliminating the least important features starting with the full set and progressively reducing to the target size.
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mRMR (Minimum Redundancy Maximum Relevance)
Selection framework simultaneously optimizing maximum relevance of features with the target and minimum redundancy between selected features.
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