Multiview Machine Learning

• Main Authors: Sun, Shiliang (Author, http://id.loc.gov/vocabulary/relators/aut), Mao, Liang (http://id.loc.gov/vocabulary/relators/aut), Dong, Ziang (http://id.loc.gov/vocabulary/relators/aut), Wu, Lidan (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Subjects: Artificial intelligence.; Pattern recognition.; Optical data processing.; Data mining.; Big data.; Artificial Intelligence.; Pattern Recognition.; Image Processing and Computer Vision.; Data Mining and Knowledge Discovery.; Big Data.

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 learni...

Table of Contents:

• 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.