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Cover of Algorithms in Machine Learning Paradigms: (870 Studies in Computational Intelligence)

Algorithms in Machine Learning Paradigms: (870 Studies in Computational Intelligence)

(Hardback)

Somnath Mukhopadhyay, Jyotsna Kumar Mandal, Paramartha Dutta, Kousik Dasgupta,

Springer Verlag, Singapore (Publisher)

Published
2020
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Mathematics and ScienceMathematicsApplied mathematics

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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.

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