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Empirical Inference

Overview of attention for book
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
Overall attention for this book and its chapters
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Citations

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Title
Empirical Inference
Published by
Springer-Verlag Berlin Heidelberg, January 2013
DOI 10.1007/978-3-642-41136-6
ISBNs
978-3-64-241136-6, 978-3-64-241135-9, 978-3-66-252511-1
Editors

Bernhard Schoelkopf, Zhiyuan Luo, Vladimir Vovk

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Egypt 1 <1%
Unknown 127 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 19 15%
Student > Ph. D. Student 18 14%
Student > Master 15 12%
Researcher 9 7%
Student > Doctoral Student 5 4%
Other 19 15%
Unknown 43 34%
Readers by discipline Count As %
Computer Science 32 25%
Engineering 17 13%
Mathematics 5 4%
Biochemistry, Genetics and Molecular Biology 3 2%
Physics and Astronomy 3 2%
Other 21 16%
Unknown 47 37%