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Books Books 1 - 10 of about 41 related to Advances in Kernel Methods: Support Vector Learning.   

Learning with Kernels: Support Vector Machines, Regularization, Optimization ...

Bernhard Schölkopf, Alexander J. Smola - Computers - 2002 - 626 pages
A comprehensive introduction to Support Vector Machines and related kernel methods.
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Kernel Methods in Computational Biology

Bernhard Schölkopf, Koji Tsuda, Jean-Philippe Vert - Computers - 2004 - 400 pages
A detailed overview of current research in kernel methods and their application to computational biology.
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Empirical Inference: Festschrift in Honor of Vladimir N. Vapnik

Bernhard Schölkopf, Zhiyuan Luo, Vladimir Vovk - Computers - 2013 - 306 pages
This book honours the outstanding contributions of Vladimir Vapnik, a rare example of a scientist for whom the following statements hold true simultaneously: his work led to ...
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Learning Theory and Kernel Machines: 16th Annual Conference on Computational ...

Bernhard Schölkopf - Computers - 2003 - 746 pages
This volume contains papers presented at the joint 16th Annual Conference on Learning Theory (COLT) and the 7th Annual Workshop on Kernel Machines, heldinWashington,DC,USA ...
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Advances in Neural Information Processing Systems 19: Proceedings of the ...

Bernhard Schölkopf, John Platt, Thomas Hofmann - Computers - 2007 - 1643 pages
Papers from the 2006 flagship meeting on neural computation, with contributions from physicists, neuroscientists, mathematicians, statisticians, and computer scientists.
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Handbook of Statistical Bioinformatics

Henry Horng-Shing Lu, Bernhard Schölkopf, Hongyu Zhao - Bioinformatics - 2011 - 640 pages
Numerous fascinating breakthroughs in biotechnology have generated large volumes and diverse types of high throughput data that demand the development of efficient and ...
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Dimension Reduction: A Guided Tour

Christopher J. C. Burges - Computers - 2010 - 106 pages
Dimension reduction is the mapping of data to a lower dimensional space such that uninformative variance in the data is discarded, or such that a subspace in which the data ...
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Advances in Large Margin Classifiers

Alexander J. Smola - Computers - 2000 - 412 pages
The book provides an overview of recent developments in large margin classifiers, examines connections with other methods (e.g., Bayesian inference), and identifies strengths ...
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An Introduction to Support Vector Machines and Other Kernel-based Learning ...

Nello Cristianini, John Shawe-Taylor - Computers - 2000
This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances in statistical learning theory. SVMs ...
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