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Ozer, Sedat

ISBN 10: 3838305574 ISBN 13: 9783838305578

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About this Item: 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. Seller Inventory # K9783838305578

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Sedat Ozer

Published by LAP Lambert Academic Publishing 2009-08-06 (2009)

ISBN 10: 3838305574 ISBN 13: 9783838305578

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About this Item: LAP Lambert Academic Publishing 2009-08-06, 2009. paperback. Condition: New. Seller Inventory # 9783838305578

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Ozer, Sedat

Published by LAP Lambert Academic Publishing (2009)

ISBN 10: 3838305574 ISBN 13: 9783838305578

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About this Item: LAP Lambert Academic Publishing, 2009. PAP. Condition: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # IQ-9783838305578

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Ozer, Sedat

Published by LAP Lambert Academic Publishing (2016)

ISBN 10: 3838305574 ISBN 13: 9783838305578

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About this Item: LAP Lambert Academic Publishing, 2016. Paperback. Condition: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Seller Inventory # ria9783838305578_lsuk

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Sedat Ozer

Published by LAP Lambert Academic Publishing (2009)

ISBN 10: 3838305574 ISBN 13: 9783838305578

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About this Item: LAP Lambert Academic Publishing, 2009. PAP. Condition: New. New Book. Delivered from our UK warehouse in 3 to 5 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # LQ-9783838305578

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Ozer, Sedat

Published by LAP Lambert Academic Publishing

ISBN 10: 3838305574 ISBN 13: 9783838305578

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About this Item: LAP Lambert Academic Publishing. Condition: New. Paperback. Worldwide shipping. FREE fast shipping inside USA (express 2-3 day delivery also available). Tracking service included. Ships from United States of America. Seller Inventory # 3838305574

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Sedat Ozer

Published by LAP Lambert Academic Publishing (2009)

ISBN 10: 3838305574 ISBN 13: 9783838305578

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About this Item: LAP Lambert Academic Publishing, 2009. Paperback. Condition: Used: Good. Seller Inventory # SONG3838305574

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Sedat Ozer

Published by LAP Lambert Acad. Publ. Aug 2009 (2009)

ISBN 10: 3838305574 ISBN 13: 9783838305578

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About this Item: LAP Lambert Acad. Publ. Aug 2009, 2009. Taschenbuch. 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. Seller Inventory # 9783838305578

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Sedat Ozer

Published by LAP Lambert Acad. Publ. Aug 2009 (2009)

ISBN 10: 3838305574 ISBN 13: 9783838305578

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From: BuchWeltWeit Inh. Ludwig Meier e.K. (Bergisch Gladbach, Germany)

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About this Item: LAP Lambert Acad. Publ. Aug 2009, 2009. Taschenbuch. 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. Seller Inventory # 9783838305578

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Sedat Ozer

Published by LAP Lambert Academic Publishing (2009)

ISBN 10: 3838305574 ISBN 13: 9783838305578

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About this Item: LAP Lambert Academic Publishing, 2009. Condition: New. book. Seller Inventory # M3838305574

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Sedat Ozer

Published by LAP Lambert Academic Publishing, Germany (2010)

ISBN 10: 3838305574 ISBN 13: 9783838305578

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About this Item: LAP Lambert Academic Publishing, Germany, 2010. Paperback. 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. Seller Inventory # KNV9783838305578

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Sedat Ozer

Published by LAP Lambert Acad. Publ. Aug 2009 (2009)

ISBN 10: 3838305574 ISBN 13: 9783838305578

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About this Item: LAP Lambert Acad. Publ. Aug 2009, 2009. Taschenbuch. 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. Seller Inventory # 9783838305578

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Sedat Ozer

Published by LAP Lambert Academic Publishing

ISBN 10: 3838305574 ISBN 13: 9783838305578

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About this Item: LAP Lambert Academic Publishing. Paperback. Condition: New. 84 pages. Dimensions: 8.7in. x 5.9in. x 0.2in.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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Seller Inventory # 9783838305578

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Sedat Ozer

Published by LAP Lambert Academic Publishing (2009)

ISBN 10: 3838305574 ISBN 13: 9783838305578

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About this Item: LAP Lambert Academic Publishing, 2009. Paperback. Condition: Good. Ships with Tracking Number! INTERNATIONAL WORLDWIDE Shipping available. May not contain Access Codes or Supplements. May be ex-library. Shipping & Handling by region. Buy with confidence, excellent customer service!. Seller Inventory # 3838305574

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Results (1 - 14) of 14