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Books Books 1 - 10 of about 45 related to The Nature of Statistical Learning Theory.    

Statistical learning theory

Vladimir Naumovich Vapnik - Computers - 1998 - 736 pages
A comprehensive look at learning and generalization theory. The statistical theory of learning and generalization concerns the problem of choosing desired functions on the ...
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Trevor Hastie, Robert Tibshirani, Jerome H. Friedman - Mathematics - 2001 - 533 pages
This book describes the important ideas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples ...
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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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Learning from Data: Concepts, Theory, and Methods

Vladimir Cherkassky, Filip M. Mulier - Computers - 2007 - 624 pages
An interdisciplinary framework for learning methodologies—covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles 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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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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Least Squares Support Vector Machines

Johan A. K. Suykens, Tony Van Gestel, Jos De Brabanter - Computers - 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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