Algorithms in Machine Learning Paradigms -
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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 learn ... Full description
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Description
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.
More Information
| Publisher | Springer Nature Singapore |
|---|---|
| Series | Studies in Computational Intelligence |
| Release year | 2020 |
| Cover type | Hardcover |
| EAN | 9789811510403 |