Algorithms in Machine Learning Paradigms
By Jyotsna Kumar Mandal, Somnath Mukhopadhyay, Paramartha Dutta & Kousik Dasgupta
- Release Date: 2020-01-03
- Genre: Engineering
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.
