Belief Functions: Theory and Applications
5th International Conference, BELIEF 2018, Compiègne, France, September 17-21, 2018, Proceedings
Editors: Destercke, S., Denoeux, T., Cuzzolin, F., Martin, A. (Eds.)
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- About this book
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This book constitutes the refereed proceedings of the 5th International Conference on Belief Functions, BELIEF 2018, held in Compiègne, France, in September 2018.The 33 revised regular papers presented in this book were carefully selected and reviewed from 73 submissions. The papers were solicited on theoretical aspects (including for example statistical inference, mathematical foundations, continuous belief functions) as well as on applications in various areas including classification, statistics, data fusion, network analysis and intelligent vehicles.
- Table of contents (33 chapters)
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An Evidential Collaborative Filtering Approach Based on Items Contents Clustering
Pages 1-9
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The Belief Functions Theory for Sensors Localization in Indoor Wireless Networks
Pages 10-13
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On Evidential Clustering with Partial Supervision
Pages 14-21
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Exploiting Domain-Experts Knowledge Within an Evidential Process for Case Base Maintenance
Pages 22-30
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The Kantorovich Problem and Wasserstein Metric in the Theory of Belief Functions
Pages 31-38
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Table of contents (33 chapters)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Belief Functions: Theory and Applications
- Book Subtitle
- 5th International Conference, BELIEF 2018, Compiègne, France, September 17-21, 2018, Proceedings
- Editors
-
- Sébastien Destercke
- Thierry Denoeux
- Fabio Cuzzolin
- Arnaud Martin
- Series Title
- Lecture Notes in Artificial Intelligence
- Series Volume
- 11069
- Copyright
- 2018
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-319-99383-6
- DOI
- 10.1007/978-3-319-99383-6
- Softcover ISBN
- 978-3-319-99382-9
- Edition Number
- 1
- Number of Pages
- XI, 280
- Number of Illustrations
- 58 b/w illustrations
- Topics
