Algorithms in Machine Learning Paradigms (1st ed. 2020) (Studies in Computational Intelligence #870)
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- 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
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9789811510410
- Related ISBNs:
- 9789811510403
- Publisher:
- Springer Singapore, Singapore
- Date of Addition:
- 01/17/20
- Copyrighted By:
- Springer Nature Singapore Pte Ltd.
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Art and Architecture, Computers and Internet, Technology
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Jyotsna Kumar Mandal
- Edited by:
- Somnath Mukhopadhyay
- Edited by:
- Paramartha Dutta
- Edited by:
- Kousik Dasgupta
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- by Jyotsna Kumar Mandal
- by Somnath Mukhopadhyay
- by Paramartha Dutta
- by Kousik Dasgupta
- in Nonfiction
- in Art and Architecture
- in Computers and Internet
- in Technology