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Publicado por LAP Lambert Academic Publishing, 2009
ISBN 10: 3838305574ISBN 13: 9783838305578
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Condición: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Publicado por LAP Lambert Academic Publishing, 2009
ISBN 10: 3838305574ISBN 13: 9783838305578
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Libro
Condición: New.
Publicado por LAP Lambert Academic Publishing 2009-08, 2009
ISBN 10: 3838305574ISBN 13: 9783838305578
Librería: Chiron Media, Wallingford, Reino Unido
Libro
PF. Condición: New.
Publicado por LAP LAMBERT Academic Publishing Mai 2010, 2010
ISBN 10: 3838305574ISBN 13: 9783838305578
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Support Vector Machines (SVM) are known as the state of the art learning algorithms. Although they are called as the state of the art learning algorithms, the kernel functions take an important place when the SVM performance is the main concern. Recently Chebyshev kernel has been proposed as a good alternative to the well known and used Gaussian kernel. Therefore in this book we studied this kernel functions as well as several other kernel functions, and compared their performances. We also proposed a generalization method to use Chebyshev kernels on vector inputs directly. Moreover, we also discussed some properties of Gaussian kernels when used with SVM. 84 pp. Englisch.
Publicado por LAP Lambert Academic Publishing, 2009
ISBN 10: 3838305574ISBN 13: 9783838305578
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
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PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Publicado por LAP LAMBERT Academic Publishing, 2009
ISBN 10: 3838305574ISBN 13: 9783838305578
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Libro Impresión bajo demanda
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Support Vector Machines (SVM) are known as the state of the art learning algorithms. Although they are called as the state of the art learning algorithms, the kernel functions take an important place when the SVM performance is the main concern. Recently Chebyshev kernel has been proposed as a good alternative to the well known and used Gaussian kernel. Therefore in this book we studied this kernel functions as well as several other kernel functions, and compared their performances. We also proposed a generalization method to use Chebyshev kernels on vector inputs directly. Moreover, we also discussed some properties of Gaussian kernels when used with SVM.
Publicado por LAP Lambert Academic Publishing, 2009
ISBN 10: 3838305574ISBN 13: 9783838305578
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
Libro Impresión bajo demanda
PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Publicado por LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838305574ISBN 13: 9783838305578
Librería: moluna, Greven, Alemania
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ozer SedatSedat Ozer obtained his B.Sc. degree in electronics engineering from Istanbul University, Turkey and his M.Sc degree in electrical engineering from University of Massachusetts, Dartmouth,(UMASD) MA. Currently he is a PhD ca.
Publicado por LAP Lambert Academic Publishing, 2009
ISBN 10: 3838305574ISBN 13: 9783838305578
Librería: Mispah books, Redhill, SURRE, Reino Unido
Libro
Paperback. Condición: Like New. Like New. book.