Algorithms in Machine Learning Paradigms
Synopsis
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.
- Copyright:
- 2020 Springer
Book Details
- Book Quality:
- ISBN-13:
- 9789811510410
- Publisher:
- Springer Singapore, Singapore
- Date of Addition:
- 2020-01-17T18:45:57Z
- Language:
- English
- Categories:
- Usage Restrictions:
- This is a copyrighted book.