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Algorithms in Machine Learning Paradigms 1 Algorithms in Machine Learning Paradigms 1
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Algorithms in Machine Learning Paradigms

Description

(Studies in Computational Intelligence) 1st ed. 2020 Edition 

by Jyotsna Kumar Mandal (Editor), Somnath Mukhopadhyay (Editor), Paramartha Dutta (Editor), Kousik Dasgupta (Editor) 

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 extraction-based learning, optimization-based learning, quantum-inspired learning, multi-criteria-based learning and hybrid intelligence-based learning.

Details

Year:
2020
Pages:
201
Language:
English
Format:
PDF
Size:
8 MB
ISBN-10:
9811510407
ISBN-13:
978-9811510403
ASIN:
B083GMBJ7H
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