ISBN: 9783319461847 - twin support vector machines: models, extensions and applications (studies in computational intelligence, 659, band 659) (3 Ergebnisse)

Sprache: Englisch
Verlag: Springer, 2016
Serie: Buch 180 von 538 - Studies in Computational Intelligence
- Hardcover
Anbieter: Studibuch, Stuttgart, DeutschlandStudibuch
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EUR 39,63
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hardcover. Zustand: Sehr gut. 225 Seiten; 9783319461847.2 Gewicht in Gramm: 1.

Sprache: Englisch
Verlag: Springer, 2016
Serie: Buch 180 von 538 - Studies in Computational Intelligence
- Hardcover
Anbieter: Buchpark, Trebbin, DeutschlandBuchpark
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EUR 105,00 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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.…

Sprache: Englisch
Verlag: Springer, 2016
Serie: Buch 180 von 538 - Studies in Computational Intelligence
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 124,85
EUR 35,00 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…