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Twin Support Vector Machines
Údaje o názvu Twin Support Vector Machines [electronic resource] : Models, Extensions and Applications / by Jayadeva, Reshma Khemchandani, Suresh Chandra. Nakladatel Cham : Springer International Publishing : Imprint: Springer, 2017. Fyz.popis XIV, 211 p. 21 illus., 20 illus. in color. online resource. ISBN 9783319461861 Edice Studies in Computational Intelligence, ISSN 1860-949X ; 659 Úplný obsah 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. Poznámky k dostupnosti Přístup pouze pro oprávněné uživatele Dal.odpovědnost Khemchandani, Reshma. Chandra, Suresh. Dal.odpovědnost SpringerLink (Online service) Předmět.hesla Engineering. * Artificial intelligence. * Computational intelligence. Forma, žánr elektronické knihy electronic books Země vyd. Německo Jazyk dok. angličtina Druh dok. Elektronické knihy URL Plný text pro studenty a zaměstnance UPOL 
kniha
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.
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