Twin Support Vector Machines Models, Extensions and Applications

Twin Support Vector Machines Models, Extensions and Applications / by Jayadeva, Reshma Khemchandani, Suresh Chandra.

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 (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Studies in Computational Intelligence, 659
Springer eBook Collection.
Subjects:
Computational intelligence.
Artificial intelligence.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
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.

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