Springer Support Vector Machines Aug 2008 rar (0387772413)

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Ingo Steinwart, Andreas Christmann, "Support Vector Machines"

This book explains the principles that make support vector machines (SVMs) a successful modelling and prediction tool for a variety of applications. The authors present the basic ideas of SVMs together with the latest developments and current research questions in a unified style. They identify three reasons for the success of SVMs: their ability to learn well with only a very small number of free parameters, their robustness against several types of model violations and outliers, and their computational efficiency compared to several other methods.

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	An Introduction to Support Vector Machines and Other Kernel Nello Cristianini, John Shawe-Taylor, "An Introduction to Support Vector Machines and Other Kernel-based Learning Methods"Cambridge University Press \| ISBN 0521780195 \| 2000 Year \| CHM \| 4 Mb \| 189 Pages?This is the first comprehensive intr ...
	Software Related Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning) by Bernhard Schlkopf, Alexander J. SmolaPublisher: The MIT Press; 1st edition (December 15, 2001) \| ISBN-1 ...
	Study Support Vector Machines: Theory and Applications pic info:2007-03-23/e5_origSupport Vector Machines: Theory and Applicationsby Lipo Wang, (Studies in Fuzziness and Soft Computing)Springer \| ISBN: 3540243887 \| 2005 Year \| 431 Pages \| PDF \| 16 MbThe support vector machine (SVM) has become o ...
	Study Support Vector Machines for Pattern Classification pic info:2007-03-23/e4_origSupport Vector Machines for Pattern Classificationby Shigeo Abe, (Advances in Pattern Recognition)Springer \| ISBN: 1852339292 \| 2005 Year \| 343 Pages \| PDF \| 2 MbSupport vector machines (SVMs), were originally for ...
	Programming Rule Extraction from Support Vector Machines Joachim Diederich “Rule Extraction from Support Vector Machines" Springer \| 2008-02-13 \| ISBN: 3540753893 \| 262 pages \| PDF \| 3 MB
	Science/Engineering LEAST SQUARES SUPPORT VECTOR MACHINES Author: Johan A K Suykens, Tony Van Gestel, Jos De Brabanter, Bart De Moor & Joos VandewallePublisher: World Scientific Publishing Co. Pte. LdtISBN: 9812381511Pages: 308This book focuses on Least Squares Support Vector Machines (LS-SVM ...

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	An Introduction to Support Vector Machines and Other Kernel Nello Cristianini, John Shawe-Taylor, "An Introduction to Support Vector Machines and Other Kernel-based Learning Methods"Cambridge University Press \| ISBN 0521780195 \| 2000 Year \| CHM \| 4 Mb \| 189 Pages?This is the first comprehensive intr ...
	Software Related Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning) by Bernhard Schlkopf, Alexander J. SmolaPublisher: The MIT Press; 1st edition (December 15, 2001) \| ISBN-1 ...
	Study Support Vector Machines: Theory and Applications pic info:2007-03-23/e5_origSupport Vector Machines: Theory and Applicationsby Lipo Wang, (Studies in Fuzziness and Soft Computing)Springer \| ISBN: 3540243887 \| 2005 Year \| 431 Pages \| PDF \| 16 MbThe support vector machine (SVM) has become o ...
	Study Support Vector Machines for Pattern Classification pic info:2007-03-23/e4_origSupport Vector Machines for Pattern Classificationby Shigeo Abe, (Advances in Pattern Recognition)Springer \| ISBN: 1852339292 \| 2005 Year \| 343 Pages \| PDF \| 2 MbSupport vector machines (SVMs), were originally for ...
	Programming Rule Extraction from Support Vector Machines Joachim Diederich “Rule Extraction from Support Vector Machines" Springer \| 2008-02-13 \| ISBN: 3540753893 \| 262 pages \| PDF \| 3 MB
	Science/Engineering LEAST SQUARES SUPPORT VECTOR MACHINES Author: Johan A K Suykens, Tony Van Gestel, Jos De Brabanter, Bart De Moor & Joos VandewallePublisher: World Scientific Publishing Co. Pte. LdtISBN: 9812381511Pages: 308This book focuses on Least Squares Support Vector Machines (LS-SVM ...

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