Articoli correlati a Twin Support Vector Machines: Models, Extensions and...

Twin Support Vector Machines: Models, Extensions and Applications: 659 - Brossura

Libro 180 di 538: Studies in Computational Intelligence

Jayadeva; Khemchandani, Reshma; Chandra, Suresh

 
9783319834627: Twin Support Vector Machines: Models, Extensions and Applications: 659
Brossura
ISBN 10: 3319834622 ISBN 13: 9783319834627
Casa editrice: Springer, 2018

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer
Data di pubblicazione
2018
Lingua
Inglese
ISBN 10 
3319834622
ISBN 13 
9783319834627
Rilegatura
Copertina flessibile
Numero di pagine
228
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