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Books Books 1 - 10 of about 45 related to Statistical learning theory.    

The Nature of Statistical Learning Theory

Vladimir Vapnik - Computers - 2000 - 314 pages
The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of ...
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Algebraic Geometry and Statistical Learning Theory

Sumio Watanabe - Computers - 2009 - 286 pages
Sure to be influential, Watanabe's book lays the foundations for the use of algebraic geometry in statistical learning theory. Many models/machines are singular: mixture models ...
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Structural Reliability: Statistical Learning Perspectives

Jorge E. Hurtado - Computers - 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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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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Information Theory and Statistical Learning

Frank Emmert-Streib, Matthias Dehmer - Computers - 2008 - 439 pages
"Information Theory and Statistical Learning" presents theoretical and practical results about information theoretic methods used in the context of statistical learning. The ...
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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 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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Foundations of Machine Learning

Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar - Computers - 2012 - 432 pages
This graduate-level textbook introduces fundamental concepts and methods in machine learning. It describes several important modern algorithms, provides the theoretical ...
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Estimation of Dependences Based on Empirical Data

V. Vapnik - Mathematics - 2006 - 506 pages
Twenty-?ve years have passed since the publication of the Russian version of the book Estimation of Dependencies Based on Empirical Data (EDBED for short). Twen- ?ve years is a ...
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