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Books Books 1 - 10 of about 40 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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An Elementary Introduction to Statistical Learning Theory

Sanjeev Kulkarni, Gilbert Harman - Mathematics - 2011 - 288 pages
A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from leading researchers in the ...
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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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Estimation of Dependences Based on Empirical Data

V. Vapnik, S. Kotz - Mathematics - 2006 - 523 pages
Provides the classical foundation of Statistical Learning Theory. Divided into two parts, this book covers a spectrum of ideas related to the essence of intelligence: from 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, 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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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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Feedforward Neural Network Methodology

Terrence L. Fine - Computers - 1999 - 340 pages
The decade prior to publication has seen an explosive growth in com- tational speed and memory and a rapid enrichment in our understa- ing of arti?cial neural networks. These ...
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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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