Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9653)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Included in the following conference series:
Conference proceedings info: COPA 2016.
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Table of contents (15 papers)
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Front Matter
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Invited Paper
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Front Matter
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Theory of Conformal Prediction
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Front Matter
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Applications of Conformal Prediction
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Front Matter
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Machine Learning
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Front Matter
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Keywords
- big data applications
- data mining
- machine learning
- pattern recognition
- universal prediction
- active learning
- algorithmic information theory
- classification
- confidence measures
- geodesic distance
- hidden markov models
- inference methods
- knowledge representation
- malware
- measures of confidence
- prediction systems
- sequential pattern mining
- similarity control
- support vector machines
- visualization
About this book
This book constitutes the refereed proceedings of the 5th International Symposium on Conformal and Probabilistic Prediction with Applications, COPA 2016, held in Madrid, Spain, in April 2016.
The 14 revised full papers presented together with 1 invited paper were carefully reviewed and selected from 23 submissions and cover topics on theory of conformal prediction; applications of conformal prediction; and machine learning.
Editors and Affiliations
Bibliographic Information
Book Title: Conformal and Probabilistic Prediction with Applications
Book Subtitle: 5th International Symposium, COPA 2016, Madrid, Spain, April 20-22, 2016, Proceedings
Editors: Alexander Gammerman, Zhiyuan Luo, Jesús Vega, Vladimir Vovk
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-33395-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Softcover ISBN: 978-3-319-33394-6Published: 17 April 2016
eBook ISBN: 978-3-319-33395-3Published: 16 April 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 229
Number of Illustrations: 45 b/w illustrations
Topics: Artificial Intelligence, Algorithm Analysis and Problem Complexity, Information Systems Applications (incl. Internet), Data Mining and Knowledge Discovery, Database Management, Computation by Abstract Devices