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The Nature of Statistical Learning Theory

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Cover of 'The Nature of Statistical Learning Theory'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: Four Periods in the Research of the Learning Problem
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    Chapter 2 Setting of the Learning Problem
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    Chapter 3 Consistency of Learning Processes
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    Chapter 4 Bounds on the Rate of Convergence of Learning Processes
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    Chapter 5 Controlling the Generalization Ability of Learning Processes
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    Chapter 6 Constructing Learning Algorithms
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    Chapter 7 Conclusion: What is Important in Learning Theory?
Attention for Chapter 5: Controlling the Generalization Ability of Learning Processes
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Chapter title
Controlling the Generalization Ability of Learning Processes
Chapter number 5
Book title
The Nature of Statistical Learning Theory
Published by
Springer, New York, NY, January 1995
DOI 10.1007/978-1-4757-2440-0_5
Book ISBNs
978-1-4757-2442-4, 978-1-4757-2440-0
Authors

Vladimir N. Vapnik, Vapnik, Vladimir N.

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