Twin support vector machines : models, extensions and applications

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 literat...

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Bibliographic Details
Main Authors Jayadeva (Author), Khemchandani, Reshma (Author), Chandra, Suresh, 1944- (Author)
Format Electronic eBook
LanguageEnglish
Published Cham, Switzerland : Springer, [2016]
SeriesStudies in computational intelligence ; v. 659.
Subjects
Online AccessFull text
ISBN9783319461861
9783319461847
ISSN1860-949X ;
Physical Description1 online resource (xiv, 211 pages) : illustrations (some color)

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Table of Contents:
  • Introduction
  • Generalized Eigenvalue Proximal Support Vector Machines
  • Twin Support Vector Machines (TWSVM) for Classification
  • TWSVR: Twin Support Vector Machine Based Regression
  • Variants of Twin Support Vector Machines: Some More Formulations
  • TWSVM for Unsupervised and Semi-Supervised Learning
  • Some Additional Topics
  • Applications Based on TWSVM
  • References.