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Books Books 11 - 20 of about 35 related to The Nature of Statistical Learning Theory.   

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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Regularized Radial Basis Function Networks: Theory and Applications

Paul V. Yee, Simon Haykin - Technology & Engineering - 2001 - 208 pages
Simon Haykin is a well-known author of books on neural networks. * An authoritative book dealing with cutting edge technology. * This book has no competition.
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Advanced Lectures on Machine Learning: ML Summer Schools 2003, Canberra ...

Olivier Bousquet, Ulrike von Luxburg, Gunnar Rätsch - Computers - 2004 - 240 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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Nonlinear Estimation and Classification

David D. Denison, Mark H. Hansen, Christopher C. Holmes, Bani Mallick, Bin Yu - Mathematics - 2013 - 477 pages
Researchers in many disciplines face the formidable task of analyzing massive amounts of high-dimensional and highly-structured data. This is due in part to recent advances in ...
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