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Support Vector Machines

Overview of attention for book
Cover of 'Support Vector Machines'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Loss Functions and Their Risks
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    Chapter 3 Surrogate Loss Functions (*)
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    Chapter 4 Kernels and Reproducing Kernel Hilbert Spaces
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    Chapter 5 Infinite-Sample Versions of Support VectorMachines
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    Chapter 6 Basic Statistical Analysis of SVMs
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    Chapter 7 Advanced Statistical Analysis of SVMs (*)
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    Chapter 8 Support Vector Machines for Classification
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    Chapter 9 Support Vector Machines for Regression.
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    Chapter 10 Robustness
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    Chapter 11 Computational Aspects
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    Chapter 12 Data Mining
Attention for Chapter 2: Loss Functions and Their Risks
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