Front cover image for Twin support vector machines : models, extensions and applications

Twin support vector machines : models, extensions and applications

Jayadeva (Author), Reshma Khemchandani (Author), Suresh Chandra (Author)
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
eBook, English, 2016
Springer, Cham, Switzerland, 2016
1 online resource (xiv, 211 pages) : illustrations (some color)
9783319461861, 3319461869
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