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 ... Täielik kirjeldus
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Kirjeldus
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.
Lisateave
| Kirjastaja | Springer Nature Singapore |
|---|---|
| Series | Studies in Computational Intelligence |
| Väljalaskeaasta | 2021 |
| Kaanetüüp | Pehme kaanega |
| EAN | 9789811510434 |