Improved Classification Rates for Localized Algorithms under Margin Conditions
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Published By Springer Fachmedien Wiesbaden

9783658295905, 9783658295912

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Introduction

Improved Classification Rates for Localized Algorithms under Margin Conditions ◽

10.1007/978-3-658-29591-2_1 ◽

2020 ◽

pp. 1-4

Author(s):

Ingrid Karin Blaschzyk

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Histogram Rule: Oracle Inequality and Learning Rates

Improved Classification Rates for Localized Algorithms under Margin Conditions ◽

10.1007/978-3-658-29591-2_3 ◽

2020 ◽

pp. 35-57

Author(s):

Ingrid Karin Blaschzyk

Keyword(s):

Oracle Inequality ◽

Learning Rates

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Preliminaries

Improved Classification Rates for Localized Algorithms under Margin Conditions ◽

10.1007/978-3-658-29591-2_2 ◽

2020 ◽

pp. 5-34

Author(s):

Ingrid Karin Blaschzyk

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Discussion

Improved Classification Rates for Localized Algorithms under Margin Conditions ◽

10.1007/978-3-658-29591-2_5 ◽

2020 ◽

pp. 115-116

Author(s):

Ingrid Karin Blaschzyk

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Localized SVMs: Oracle Inequalities and Learning Rates

Improved Classification Rates for Localized Algorithms under Margin Conditions ◽

10.1007/978-3-658-29591-2_4 ◽

2020 ◽

pp. 59-113

Author(s):

Ingrid Karin Blaschzyk

Keyword(s):

Oracle Inequalities ◽

Learning Rates

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