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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.
terimler
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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