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Book synopsis

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.

Book details

Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Technik Maschinenbau, Fertigungstechnik

• Full title: Algorithms in Machine Learning Paradigms
• Author: Kousik Dasgupta, Paramartha Dutta, Somnath Mukhopadhyay
• Language: English
• Binding: Paperback
• Number of pages: 195
• EAN: 9789811510434
• ISBN: 9811510431
• ID: 33529644
• Publisher: Springer Verlag, Singapore
• Weight: 454 g
• Dimensions: 235 × 155 × 12 mm
• Date of publishing: 04. January 2021

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