Hardback (04 Jan 2020)
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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.
| ISBN: | 9789811510403 |
| Publisher: | Springer Nature Singapore |
| Imprint: | Springer |
| Pub date: | 04 Jan 2020 |
| Language: | English |
| Number of pages: | 195 |
| Weight: | 483g |
| Height: | 235mm |
| Width: | 155mm |
| Spine width: | 13mm |
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