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Algorithms in Machine Learning Paradigms - Mandal, Jyotsna Kumar (Editor), and Mukhopadhyay, Somnath (Editor), and Dutta, Paramartha (Editor)
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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.

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Algorithms in Machine Learning Paradigms 2021, Springer, Singapore

ISBN-13: 9789811510434

2020 edition

Trade paperback

Algorithms in Machine Learning Paradigms 2020, Springer, Singapore

ISBN-13: 9789811510403

2020 edition

Hardcover