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

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.Product details Publisher: Springer; 1 edition (January 3, 2020) Publication Date: January 3, 2020