Solving a class of feature selection problems via fractional 0–1 programming

Feature selection is a fundamental preprocessing step for many machine learning and pattern recognition systems. Notably, some mutual-information-based and correlation-based feature selection problems can be formulated as fractional programs with a single ratio of polynomial 0–1 functions. In this p...

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Veröffentlicht in:Annals of operations research 2021-08, Vol.303 (1-2), p.265-295
Hauptverfasser: Mehmanchi, Erfan, Gómez, Andrés, Prokopyev, Oleg A.
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Sprache:eng
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