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.
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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.
Sedat 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 candidate in electrical engineering at Rutgers University, NJ and working on machine learning, computer vision problems.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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. Nº de ref. del artículo: 9783838305578
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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. Nº de ref. del artículo: 9783838305578
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Condición: New. pp. 84. Nº de ref. del artículo: 26128859378
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Condición: New. Print on Demand pp. 84 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam. Nº de ref. del artículo: 131695405
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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. Nº de ref. del artículo: 5411281
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. PRINT ON DEMAND pp. 84. Nº de ref. del artículo: 18128859384
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. Nº de ref. del artículo: 9783838305578
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Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. A kernel study on Support Vector Machines | Generalized Chebyshev Kernels | Sedat Ozer (u. a.) | Taschenbuch | 84 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838305578 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 101507884
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Librería: Mispah books, Redhill, SURRE, Reino Unido
Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Nº de ref. del artículo: ERICA78738383055746
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