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Information Theory and Statistical Learning

Overview of attention for book
Information Theory and Statistical Learning
Springer US

Table of Contents

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    Book Overview
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    Chapter 1 Algorithmic Probability: Theory and Applications
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    Chapter 2 Model Selection and Testing by the MDL Principle
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    Chapter 3 Normalized Information Distance
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    Chapter 4 The Application of Data Compression-Based Distances to Biological Sequences
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    Chapter 5 MIC: Mutual Information Based Hierarchical Clustering
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    Chapter 6 A Hybrid Genetic Algorithm for Feature Selection Based on Mutual Information
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    Chapter 7 Information Approach to Blind Source Separation and Deconvolution
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    Chapter 8 Causality in Time Series: Its Detection and Quantification by Means of Information Theory
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    Chapter 9 Information Theoretic Learning and Kernel Methods
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    Chapter 10 Information-Theoretic Causal Power
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    Chapter 11 Information Flows in Complex Networks
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    Chapter 12 Models of Information Processing in the Sensorimotor Loop
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    Chapter 13 Information Divergence Geometry and the Application to Statistical Machine Learning
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    Chapter 14 Model Selection and Information Criterion
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    Chapter 15 Extreme Physical Information as a Principle of Universal Stability
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    Chapter 16 Entropy and Cloning Methods for Combinatorial Optimization, Sampling and Counting Using the Gibbs Sampler
Overall attention for this book and its chapters
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Mentioned by

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3 X users
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4 Wikipedia pages

Readers on

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248 Mendeley
Summary X Wikipedia
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Title
Information Theory and Statistical Learning
Published by
Springer US, November 2008
DOI 10.1007/978-0-387-84816-7
ISBNs
978-0-387-84815-0, 978-0-387-84816-7
Editors

Emmert-Streib, Frank, Dehmer, Matthias

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 248 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 2%
United States 4 2%
Colombia 2 <1%
Spain 2 <1%
France 1 <1%
Norway 1 <1%
Brazil 1 <1%
Sweden 1 <1%
United Kingdom 1 <1%
Other 5 2%
Unknown 226 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 71 29%
Researcher 46 19%
Student > Master 26 10%
Student > Doctoral Student 18 7%
Professor > Associate Professor 13 5%
Other 44 18%
Unknown 30 12%
Readers by discipline Count As %
Computer Science 61 25%
Engineering 34 14%
Mathematics 30 12%
Agricultural and Biological Sciences 27 11%
Physics and Astronomy 16 6%
Other 46 19%
Unknown 34 14%

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