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Multiview Machine Learning

  • Shiliang Sun
  • Liang Mao
  • Ziang Dong
  • Lidan Wu

Table of contents

  1. Front Matter
    Pages i-x
  2. Shiliang Sun, Liang Mao, Ziang Dong, Lidan Wu
    Pages 1-6
  3. Shiliang Sun, Liang Mao, Ziang Dong, Lidan Wu
    Pages 7-22
  4. Shiliang Sun, Liang Mao, Ziang Dong, Lidan Wu
    Pages 23-37
  5. Shiliang Sun, Liang Mao, Ziang Dong, Lidan Wu
    Pages 39-57
  6. Shiliang Sun, Liang Mao, Ziang Dong, Lidan Wu
    Pages 59-71
  7. Shiliang Sun, Liang Mao, Ziang Dong, Lidan Wu
    Pages 73-84
  8. Shiliang Sun, Liang Mao, Ziang Dong, Lidan Wu
    Pages 85-104
  9. Shiliang Sun, Liang Mao, Ziang Dong, Lidan Wu
    Pages 105-138
  10. Shiliang Sun, Liang Mao, Ziang Dong, Lidan Wu
    Pages 139-149

About this book

Introduction

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.

Keywords

Multiview Learning Data Fusion Data Integration Multi-Modal Learning Machine Learning Semi-Supervised Learning Subspace Learning Clustering Supervised Learning Active Learning Transfer Learning Multitask Learning Deep Learning View Construction

Authors and affiliations

  • Shiliang Sun
    • 1
  • Liang Mao
    • 2
  • Ziang Dong
    • 3
  • Lidan Wu
    • 4
  1. 1.Department of Computer Science and TechnologyEast China Normal UniversityShanghaiChina
  2. 2.Department of Computer Science and TechnologyEast China Normal UniversityShanghaiChina
  3. 3.Department of Computer Science and TechnologyEast China Normal UniversityShanghaiChina
  4. 4.Department of Computer Science and TechnologyEast China Normal UniversityShanghaiChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-13-3029-2
  • Copyright Information Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-13-3028-5
  • Online ISBN 978-981-13-3029-2
  • Buy this book on publisher's site