Algorithms in Machine Learning Paradigms
| By: | null |
| Publisher: | Springer Nature |
| Print ISBN: | 9789811510403 |
| eText ISBN: | 9789811510410 |
| Edition: | 0 |
| Copyright: | 2020 |
| Format: | Reflowable |
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Table of Contents
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.