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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 Methods of Pattern Recognition
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    Chapter 7 Methods of Function Estimation
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    Chapter 8 Direct Methods in Statistical Learning Theory
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    Chapter 9 The Vicinal Risk Minimization Principle and the SVMs
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    Chapter 10 Conclusion: What Is Important in Learning Theory?
Attention for Chapter 7: Methods of Function Estimation
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