Algorithms in Machine Learning Paradigms

This book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse applications, including prediction, concept learning, explanation-based learning, case-based (exemplar-based) learning, statistical rule-based learning, feature...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Mandal, Jyotsna Kumar (Editor), Mukhopadhyay, Somnath (Editor), Dutta, Paramartha (Editor), Dasgupta, Kousik (Editor)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Series:Studies in computational intelligence ; 870.
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