Fast multi-label feature selection based on information-theoretic feature ranking

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Jae-Sung Lee, Dae-Won Kim

Published: 2015, Last Modified: 07 Nov 2025Pattern Recognit. 2015EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•A score function from mutual information between a feature and labels was derived.•Unnecessary computations from the score function were discarded.•A strategy to identify important labels from sparse label set was proposed.•The computational cost of each component was analyzed theoretically.