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Anotácia knihy

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.

Parametre knihy

Zaradenie knihy Books in English Technology, engineering, agriculture Technology: general issues Maths for engineers

• Celý názov: Algorithms in Machine Learning Paradigms
• Autor: Jyotsna Kumar Mandal, Somnath Mukhopadhyay, Paramartha Dutta, Kousik Dasgupta
• Jazyk: Angličtina
• Väzba: Pevná
• Počet strán: 195
• EAN: 9789811510403
• ID: 24710438
• Nakladateľ: Springer Verlag, Singapore
• Hmotnosť: 483 g
• Rozmery: 235 × 155 × 17 mm
• Dátum vydania: 04. January 2020

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