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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.
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About the Author:
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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- PublisherLAP Lambert Academic Publishing
- Publication date2009
- ISBN 10 3838305574
- ISBN 13 9783838305578
- BindingPaperback
- Number of pages84
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A kernel study on Support Vector Machines: Generalized Chebyshev Kernels
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Book Description Taschenbuch. Condition: 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. Seller Inventory # 9783838305578
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A kernel study on Support Vector Machines : Generalized Chebyshev Kernels
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Book Description Taschenbuch. Condition: 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. Seller Inventory # 9783838305578
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A kernel study on Support Vector Machines Generalized Chebyshev Kernels
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Book Description Condition: 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. Seller Inventory # 5411281
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