Algorithms in Machine Learning Paradigms

195 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

 

• Reihe: Studies in Computational Intelligence
• Themen: Technologie, Ingenieurswissenschaft, Landwirtschaft, Industrieprozesse Technologie, allgemein Mathematik für Ingenieure
• ISBN: 9789811510434
• Sprache: Englisch
• Erscheinungsdatum: 04.01.2021
• Größe: 23.5 x 15.5 cm
• Verlag: Springer Singapore
• Herausgegeben von: Jyotsna Kumar Mandal, Somnath Mukhopadhyay, Paramartha Dutta, Kousik Dasgupta