Applied intelligent decision making in machine learning /

The objective of this edited book is to share the outcomes from various research domains to develop efficient, adaptive, and intelligent models to handle the challenges related to decision making. It incorporates the advances in machine intelligent techniques such as data streaming, classification,...

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Bibliographic Details
Corporate Author: Taylor & Francis
Other Authors: Das, Himansu (Editor), Rout, Jitendra Kumar (Editor), Moharana, Suresh Chandra (Editor), Dey, Nilanjan, 1984- (Editor)
Format: eBook
Language:English
Published: Boca Raton : CRC Press, Taylor & Francis Group, 2021.
Series:Computational intelligence in engineering problem solving.
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Call Number: Q325.5 .A66 2020eb
 
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