A kernel study on Support Vector Machines: Generalized Chebyshev Kernels

 
9783838305578: A kernel study on Support Vector Machines: Generalized Chebyshev Kernels

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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Book Description Book Condition: New. Publisher/Verlag: LAP Lambert Academic Publishing | Generalized Chebyshev Kernels | 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. | Format: Paperback | Language/Sprache: english | 130 gr | 84 pp. Bookseller Inventory # K9783838305578

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Book Description LAP Lambert Acad. Publ. Aug 2009, 2009. Taschenbuch. Book Condition: Neu. 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. Bookseller Inventory # 9783838305578

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Book Description LAP Lambert Acad. Publ. Aug 2009, 2009. Taschenbuch. Book Condition: Neu. 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. Bookseller Inventory # 9783838305578

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Book Description LAP Lambert Academic Publishing, Germany, 2010. Paperback. Book Condition: New. Language: English . Brand New Book. 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. Bookseller Inventory # KNV9783838305578

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Book Description LAP Lambert Acad. Publ. Aug 2009, 2009. Taschenbuch. Book Condition: Neu. This item is printed on demand - Print on Demand 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. Bookseller Inventory # 9783838305578

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