Algorithms in Machine Learning Paradigms
Author | : Jyotsna Kumar Mandal |
Publisher | : Springer Nature |
Total Pages | : 201 |
Release | : 2020-01-03 |
ISBN-10 | : 9789811510410 |
ISBN-13 | : 9811510415 |
Rating | : 4/5 (10 Downloads) |
Download or read book Algorithms in Machine Learning Paradigms written by Jyotsna Kumar Mandal and published by Springer Nature. This book was released on 2020-01-03 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.