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Books Books 11 - 20 of about 43 related to The Nature of Statistical Learning Theory.   

Least Squares Support Vector Machines

Johan A. K. Suykens, Tony Van Gestel, Jos De Brabanter - Mathematics - 2002 - 294 pages
This book focuses on Least Squares Support Vector Machines (LS-SVMs) which are reformulations to standard SVMs. LS-SVMs are closely related to regularization networks and ...
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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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Advanced Lectures on Machine Learning: ML Summer Schools 2003, Canberra ...

Olivier Bousquet, Ulrike von Luxburg, Gunnar Rätsch - Computers - 2011 - 246 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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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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From Statistics to Neural Networks: Theory and Pattern Recognition Applications

Vladimir Cherkassky, Jerome H. Friedman, Harry Wechsler - Computers - 2012 - 394 pages
The NATO Advanced Study Institute From Statistics to Neural Networks, Theory and Pattern Recognition Applications took place in Les Arcs, Bourg Saint Maurice, France, from June ...
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Structural Reliability: Statistical Learning Perspectives

Jorge Eduardo Hurtado - Technology & Engineering - 2004 - 257 pages
The last decades have witnessed the development of methods for solving struc tural reliability problems, which emerged from the efforts of numerous re searchers all over the ...
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Nonlinear Modeling: Advanced Black-Box Techniques

Johan A.K. Suykens, Joos Vandewalle - Language Arts & Disciplines - 1998 - 256 pages
Nonlinear Modeling: Advanced Black-Box Techniques discusses methods on Neural nets and related model structures for nonlinear system identification; Enhanced multi-stream ...
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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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