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Books Books 1 - 10 of about 41 related to Learning with Kernels: Support Vector Machines, Regularization, Optimization ....   

Advances in Kernel Methods: Support Vector Learning

Bernhard Schölkopf, Christopher J. C. Burges - Computers - 1999 - 376 pages
A young girl hears the story of her great-great-great-great- grandfather and his brother who came to the United States to make a better life for themselves helping to build the ...
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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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Advanced Lectures on Machine Learning: Machine Learning Summer School 2002 ...

Shahar Mendelson, Alexander J. Smola - Computers - 2003 - 266 pages
Machine Learning has become a key enabling technology for many engineering applications and theoretical problems alike. To further discussions and to dis- minate new results, a ...
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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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Advances in Neural Information Processing Systems 16: Proceedings of the ...

Sebastian Thrun, Lawrence K. Saul - Computers - 2004 - 1621 pages
Papers presented at the 2003 Neural Information Processing Conference by leading physicists, neuroscientists, mathematicians, statisticians, and computer scientists.
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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 - Mathematics - 2011 - 630 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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Support Vector Machines: Theory and Applications

Lipo Wang - Computers - 2005 - 431 pages
The support vector machine (SVM) has become one of the standard tools for machine learning and data mining. This carefully edited volume presents the state of the art of the ...
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