Название: Algorithms in Machine Learning Paradigms (Studies in Computational Intelligence)
Автор: Jyotsna Kumar Mandal (Editor), Somnath Mukhopadhyay (Editor), Paramartha Dutta (Editor), Kousik Dasgupta (Editor)
Издательство: Springer
Год: 2020
Формат: true pdf/epub
Страниц: 195
Размер: 42.9 Mb
Язык: English

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.