Statistical Learning and Data Sciences
Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings
Editors: Gammerman, Alexander, Vovk, Vladimir, Papadopoulos, Harris (Eds.)
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- About this book
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This book constitutes the refereed proceedings of the Third International Symposium on Statistical Learning and Data Sciences, SLDS 2015, held in Egham, Surrey, UK, April 2015.
The 36 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 59 submissions. The papers are organized in topical sections on statistical learning and its applications, conformal prediction and its applications, new frontiers in data analysis for nuclear fusion, and geometric data analysis.
- Table of contents (38 chapters)
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Learning with Intelligent Teacher: Similarity Control and Knowledge Transfer
Pages 3-32
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Statistical Inference Problems and Their Rigorous Solutions
Pages 33-71
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Feature Mapping Through Maximization of the Atomic Interclass Distances
Pages 75-85
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Adaptive Design of Experiments for Sobol Indices Estimation Based on Quadratic Metamodel
Pages 86-95
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GoldenEye++: A Closer Look into the Black Box
Pages 96-105
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Table of contents (38 chapters)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Statistical Learning and Data Sciences
- Book Subtitle
- Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings
- Editors
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- Alexander Gammerman
- Vladimir Vovk
- Harris Papadopoulos
- Series Title
- Lecture Notes in Artificial Intelligence
- Series Volume
- 9047
- Copyright
- 2015
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-17091-6
- DOI
- 10.1007/978-3-319-17091-6
- Softcover ISBN
- 978-3-319-17090-9
- Edition Number
- 1
- Number of Pages
- XIV, 444
- Number of Illustrations
- 133 b/w illustrations
- Topics
