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Twin Support Vector Machines

Models, Extensions and Applications

  • Jayadeva
  • Reshma Khemchandani
  • Suresh Chandra

Part of the Studies in Computational Intelligence book series (SCI, volume 659)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Jayadeva, Reshma Khemchandani, Suresh Chandra
    Pages 1-24
  3. Jayadeva, Reshma Khemchandani, Suresh Chandra
    Pages 25-42
  4. Jayadeva, Reshma Khemchandani, Suresh Chandra
    Pages 43-62
  5. Jayadeva, Reshma Khemchandani, Suresh Chandra
    Pages 63-101
  6. Jayadeva, Reshma Khemchandani, Suresh Chandra
    Pages 103-123
  7. Jayadeva, Reshma Khemchandani, Suresh Chandra
    Pages 125-152
  8. Jayadeva, Reshma Khemchandani, Suresh Chandra
    Pages 153-192
  9. Jayadeva, Reshma Khemchandani, Suresh Chandra
    Pages 193-206
  10. Back Matter
    Pages 207-211

About this book

Introduction

This book provides a systematic and focused study of the various aspects of twin support vector machines (TWSVM) and related developments for classification and regression. In addition to presenting most of the basic models of TWSVM and twin support vector regression (TWSVR) available in the literature, it also discusses the important and challenging applications of this new machine learning methodology. A chapter on “Additional Topics” has been included to discuss kernel optimization and support tensor machine topics, which are comparatively new but have great potential in applications. It is primarily written for graduate students and researchers in the area of machine learning and related topics in computer science, mathematics, electrical engineering, management science and finance.

Keywords

Computational Intelligence Machine Learning Support Vector Machines Twin Support Vector Machines TWSVM Unsupervised and Semi-Supervised Learning

Authors and affiliations

  • Jayadeva
    • 1
  • Reshma Khemchandani
    • 2
  • Suresh Chandra
    • 3
  1. 1.Department of Electrical EngineeringIndian Institute of Technology (I.I.T)New DelhiIndia
  2. 2.Department of Computer Science, Faculty of Mathematics and Computer ScienceSouth Asian University (SAU)New DelhiIndia
  3. 3.Department of MathematicsIndian Institute of Technology (I.I.T)New DelhiIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-46186-1
  • Copyright Information Springer International Publishing Switzerland 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-46184-7
  • Online ISBN 978-3-319-46186-1
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site