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Belief Functions: Theory and Applications : 6th International Conference, BELIEF 2021, Shanghai, China, October 15-19, 2021, Proceedings / edited by Thierry Denœux, Eric Lefèvre, Zhunga Liu, Frédéric Pichon.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Denoeux, Thierry, Editor.
Lefèvre, Éric, 1949- Editor.
Liu, Zhunga., Editor.
Pichon, Frédéric, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence ; 12915
Lecture Notes in Artificial Intelligence ; 12915
Language:
English
Subjects (All):
Artificial intelligence.
Machine theory.
Data mining.
Application software.
Computer science-Mathematics.
Computer networks.
Artificial Intelligence.
Formal Languages and Automata Theory.
Data Mining and Knowledge Discovery.
Computer and Information Systems Applications.
Mathematics of Computing.
Computer Communication Networks.
Local Subjects:
Artificial Intelligence.
Formal Languages and Automata Theory.
Data Mining and Knowledge Discovery.
Computer and Information Systems Applications.
Mathematics of Computing.
Computer Communication Networks.
Physical Description:
1 online resource (XI, 310 pages) : 48 illustrations, 33 illustrations in color.
Edition:
1st ed. 2021.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2021.
System Details:
text file PDF
Summary:
This book constitutes the refereed proceedings of the 6th International Conference on Belief Functions, BELIEF 2021, held in Shanghai, China, in October 2021. The 30 full papers presented in this book were carefully selected and reviewed from 37 submissions. The papers cover a wide range on theoretical aspects on mathematical foundations, statistical inference as well as on applications in various areas including classification, clustering, data fusion, image processing, and much more.
Contents:
Clustering
Transfer learning
Classification
Statistical inference and learning
Deep learning
Conflict, inconsistency and specificity
Information fusion
Elicitation
Algorithms and computation.
Other Format:
Printed edition:
ISBN:
978-3-030-88601-1
9783030886011
Access Restriction:
Restricted for use by site license.

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