國立虎尾科技大學 |

Multiview Machine Learning

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Multiview Machine Learning/ by Shiliang Sun, Liang Mao, Ziang Dong, Lidan Wu.
Author:	Sun, Shiliang.
other author:	Mao, Liang.
Description:	X, 149 p. 10 illus., 7 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/978-981-13-3029-2
ISBN:	9789811330292

Multiview Machine Learning
Sun, Shiliang.

Multiview Machine Learning[electronic resource] /by Shiliang Sun, Liang Mao, Ziang Dong, Lidan Wu. - 1st ed. 2019. - X, 149 p. 10 illus., 7 illus. in color.online resource.

Chapter 1. Introduction -- Chapter 2. Multiview Semi-supervised Learning -- Chapter 3. Multiview Subspace Learning -- Chapter 4. Multiview Supervised Learning -- Chapter 5. Multiview Clustering -- Chapter 6. Multiview Active Learning -- Chapter 7. Multiview Transfer Learning and Multitask Learning -- Chapter 8. Multiview Deep Learning -- Chapter 9. View Construction.

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.

ISBN: 9789811330292

Standard No.: 10.1007/978-981-13-3029-2doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

Multiview Machine Learning
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