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: eBook
Language: English
Published: Cham, Switzerland : Springer, [2016]
Series: Studies in computational intelligence ; v. 659.
Subjects:
Support vector machines.
elektronické knihy
electronic books
ISBN: 9783319461861
9783319461847
Physical Description: 1 online resource (xiv, 211 pages) : illustrations (some color)

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Table of contents

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020 |a 9783319461861  |q (electronic bk.) 
020 |z 9783319461847  |q (print) 
024 7 |a 10.1007/978-3-319-46186-1  |2 doi 
035 |a (OCoLC)960947110  |z (OCoLC)962009421 
100 1 |a Jayadeva,  |e author. 
245 1 0 |a Twin support vector machines :  |b models, extensions and applications /  |c Jayadeva, Reshma Khemchandani, Suresh Chandra. 
264 1 |a Cham, Switzerland :  |b Springer,  |c [2016] 
264 4 |c ©2017 
300 |a 1 online resource (xiv, 211 pages) :  |b illustrations (some color) 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Studies in computational intelligence,  |x 1860-949X ;  |v volume 659 
504 |a Includes bibliographical references and index. 
505 0 |a 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. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Support vector machines. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Khemchandani, Reshma,  |e author. 
700 1 |a Chandra, Suresh,  |d 1944-  |e author. 
776 0 8 |i Print version:  |a Jayadeva.  |t Twin support vector machines.  |d Cham, Switzerland : Springer, [2016]  |z 3319461842  |z 9783319461847  |w (OCoLC)956623625 
830 0 |a Studies in computational intelligence ;  |v v. 659.  |x 1860-949X 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-46186-1  |y Plný text 
992 |c NTK-SpringerENG 
999 |c 99467  |d 99467 
993 |x NEPOSILAT  |y EIZ 

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