Data & IT
Pocket
Algorithms in Machine Learning Paradigms
Jyotsna Kumar Mandal • Somnath Mukhopadhyay • Paramartha Dutta • Kousik Dasgupta
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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.
- Format: Pocket/Paperback
- ISBN: 9789811510434
- Språk: Engelska
- Antal sidor: 195
- Utgivningsdatum: 2021-01-04
- Förlag: Springer Verlag, Singapore