Multiview machine learning (pdf)

$20.00

Author Dong, Ziang; Mao, Liang; Sun, Shiliang; Wu, Lidan et al.
Edition 1
Edition Year 2019
Format PDF
ISBN 9789811330285
Language English
Number Of Pages 162
Publisher springer

Description

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.

Additional information

Author

Dong, Ziang; Mao, Liang; Sun, Shiliang; Wu, Lidan et al.

Edition

1

Edition Year

2019

Format

PDF

ISBN

9789811330285

Language

English

Number Of Pages

162

Publisher

springer

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