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Books Books 1 - 10 of about 45 related to Learning with Kernels: Support Vector Machines, Regularization, Optimization ....    

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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Advances in Kernel Methods: Support Vector Learning

Bernhard Schölkopf, Christopher J. C. Burges, Alexander J. Smola - 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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Advanced Lectures on Machine Learning: Machine Learning Summer School 2002 ...

Shahar Mendelson, Alexander J. Smola - Computers - 2003 - 257 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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Learning Theory and Kernel Machines: 16th Annual Conference on Computational ...

Bernhard Schölkopf, Manfred Warmuth - 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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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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Advanced Lectures on Machine Learning: ML Summer Schools 2003, Canberra ...

Olivier Bousquet, Ulrike von Luxburg, Gunnar Rätsch - Machine learning - 2004 - 241 pages
Machine Learning has become a key enabling technology for many engineering applications, investigating scientific questions and theoretical problems alike. To stimulate ...
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Pattern Recognition: 23rd DAGM Symposium, Munich, Germany, September 12-14 ...

Bernd Radig, Stefan Florczyk - Computers - 2001 - 452 pages
This book constitutes the refereed proceedings of the 23rd Symposium of the German Association for Pattern Recognition, DAGM 2001, held in Munich, Germany in September 2001 ...
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An Introduction to Support Vector Machines and Other Kernel-based Learning ...

Nello Cristianini, John Shawe-Taylor - Computers - 2000 - 189 pages
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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