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Twin Support Vector Machines
Title statement Twin Support Vector Machines [electronic resource] : Models, Extensions and Applications / by Jayadeva, Reshma Khemchandani, Suresh Chandra. Publication Cham : Springer International Publishing : Imprint: Springer, 2017. Phys.des. XIV, 211 p. 21 illus., 20 illus. in color. online resource. ISBN 9783319461861 Edition Studies in Computational Intelligence, ISSN 1860-949X ; 659 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. Notes to Availability Přístup pouze pro oprávněné uživatele Another responsib. Khemchandani, Reshma. Chandra, Suresh. Another responsib. SpringerLink (Online service) Subj. Headings Engineering. * Artificial intelligence. * Computational intelligence. Form, Genre elektronické knihy electronic books Country Německo Language angličtina Document kind Electronic books URL Plný text pro studenty a zaměstnance UPOL 
book
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.
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.
Number of the records: 1