Multiview Machine Learning
Authors: Shiliang Sun – Liang Mao – Ziang Dong – Lidan Wu
ISBN-10: 981133028X
ISBN-13: 9789811330285
Edition 版本: 1st ed. 2019
Publication Date 出版日期: 2019-01-08
Pages: 149 pages
9
This book provides a unique,in-depth discussion of multiview learning,one of the fastest developing branches in machine learning. Multiview Learning has been proved to have good theoretical underpinnings and great practical success. This book describes the models and algorithms of multiview learning in real data analysis. Incorporating multiple views to improve the generalization performance,multiview learning is also known as data fusion or data integration from multiple feature sets. This self-contained book is applicable for multi-modal learning research,and requires minimal prior knowledge of the basic concepts in the field. It is also a valuable reference resource for researchers working in the field of machine learning and also those in various application domains.
Multiview Machine Learning
未经允许不得转载:finelybook » Multiview Machine Learning
相关推荐
- The Power of Large Language Models and AI in the Digital Age: Technologies, applications, security and ethics
- Deep Learning Methods Of Mathematical Physics - Volume I: Direct And Inverse Problems
- Considerations on Novel Network Edge Physical Node Architectures
- CNTs for the Next Generation of Electronic Devices: A Practical Introduction (River Publishers Rapids Series on Intelligence in Chips)
finelybook
