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Empirical Inference

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Cover of 'Empirical Inference'

Table of Contents

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    Book Overview
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    Chapter 1 In Hindsight: Doklady Akademii Nauk SSSR, 181(4), 1968
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    Chapter 2 On the Uniform Convergence of the Frequencies of Occurrence of Events to Their Probabilities
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    Chapter 3 Early History of Support Vector Machines
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    Chapter 4 Some Remarks on the Statistical Analysis of SVMs and Related Methods
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    Chapter 5 Explaining AdaBoost
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    Chapter 6 On the Relations and Differences Between Popper Dimension, Exclusion Dimension and VC-Dimension
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    Chapter 7 On Learnability, Complexity and Stability
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    Chapter 8 Loss Functions
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    Chapter 9 Statistical Learning Theory in Practice
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    Chapter 10 PAC-Bayesian Theory
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    Chapter 11 Kernel Ridge Regression
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    Chapter 12 Multi-task Learning for Computational Biology: Overview and Outlook
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    Chapter 13 Semi-supervised Learning in Causal and Anticausal Settings
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    Chapter 14 Strong Universal Consistent Estimate of the Minimum Mean Squared Error
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    Chapter 15 The Median Hypothesis
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    Chapter 16 Efficient Transductive Online Learning via Randomized Rounding
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    Chapter 17 Pivotal Estimation in High-Dimensional Regression via Linear Programming
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    Chapter 18 On Sparsity Inducing Regularization Methods for Machine Learning
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    Chapter 19 Sharp Oracle Inequalities in Low Rank Estimation
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    Chapter 20 On the Consistency of the Bootstrap Approach for Support Vector Machines and Related Kernel-Based Methods
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    Chapter 21 Kernels, Pre-images and Optimization
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    Chapter 22 Efficient Learning of Sparse Ranking Functions
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    Chapter 23 Direct Approximation of Divergences Between Probability Distributions
Attention for Chapter 5: Explaining AdaBoost
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Chapter title
Explaining AdaBoost
Chapter number 5
Book title
Empirical Inference
Published by
Springer, Berlin, Heidelberg, January 2013
DOI 10.1007/978-3-642-41136-6_5
Book ISBNs
978-3-64-241135-9, 978-3-64-241136-6
Authors

Robert E. Schapire, Schapire, Robert E.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,021 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 <1%
France 2 <1%
Russia 2 <1%
Malaysia 1 <1%
Italy 1 <1%
Australia 1 <1%
United Kingdom 1 <1%
Netherlands 1 <1%
Belgium 1 <1%
Other 3 <1%
Unknown 1003 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 177 17%
Student > Master 173 17%
Student > Bachelor 137 13%
Researcher 68 7%
Student > Doctoral Student 42 4%
Other 137 13%
Unknown 287 28%
Readers by discipline Count As %
Computer Science 329 32%
Engineering 177 17%
Mathematics 38 4%
Physics and Astronomy 16 2%
Economics, Econometrics and Finance 16 2%
Other 112 11%
Unknown 333 33%