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Belief Functions: Theory and Applications : 5th International Conference, BELIEF 2018, Compiègne, France, September 17-21, 2018, Proceedings / edited by Sébastien Destercke, Thierry Denoeux, Fabio Cuzzolin, Arnaud Martin.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Destercke, Sébastien, Editor.
Denoeux, Thierry, Editor.
Cuzzolin, Fabio, Editor.
Martin, Arnaud, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 11069
Lecture Notes in Artificial Intelligence, 2945-9141 ; 11069
Language:
English
Subjects (All):
Artificial intelligence.
Computer networks.
Application software.
Pattern recognition systems.
Database management.
Artificial Intelligence.
Computer Communication Networks.
Computer and Information Systems Applications.
Automated Pattern Recognition.
Database Management.
Local Subjects:
Artificial Intelligence.
Computer Communication Networks.
Computer and Information Systems Applications.
Automated Pattern Recognition.
Database Management.
Physical Description:
1 online resource (XI, 280 pages) : 58 illustrations
Edition:
1st ed. 2018.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2018.
System Details:
text file PDF
Summary:
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.
Contents:
Uncertainty Quantification
Fuzzy sets
Belief Functions
Imprecise Probabilities
Machine Learning
Imprecision Data Science
Statistics
Graphical Models
Information Fusion.
Other Format:
Printed edition:
ISBN:
978-3-319-99383-6
9783319993836
Access Restriction:
Restricted for use by site license.

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