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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.
Published by: Springer
Publication Date: 2020-01-04
Format: Hardcover
ISBN-13: 9789811510403
DOI: 10.1007/978-981-15-1041-0
Dimensions: 235cm x155cm
Pages: 195