A Q-learning approach to attribute reduction

Attribute reduction is a paradigm covering both theories and techniques of selecting required attributes with constraints related to rough set. Currently, though various searching strategies have been developed for achieving such a purpose, few of them take the rewards of identifying attributes into...

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Veröffentlicht in:	Applied intelligence (Dordrecht, Netherlands) Netherlands), 2023-02, Vol.53 (4), p.3750-3765
Hauptverfasser:	Liu, Yuxin, Gong, Zhice, Liu, Keyu, Xu, Suping, Ju, Hengrong, Yang, Xibei
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Chromosomes Classification Computer Science Machine learning Machines Manufacturing Mechanical Engineering Neighborhoods Processes Reduction State-of-the-art reviews
Online-Zugang:	Volltext
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