Algorithms In Machine Learning Paradigms

Algorithms In Machine Learning Paradigms

Jyotsna Kumar Mandal, Somnath Mukhopadhyay, Paramartha Dutta, Kousik Dasgupta

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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.

Categories:
Mathematics

Year:
2020

Publisher:
Springer

Language:
english

Pages:
201

ISBN 10:
9811510407

ISBN 13:
9789811510410

Series:
Studies In Computational Intelligence Vol. 870

File:
PDF, 7.85 MB