Belief functions : theory and applications : 6th International Conference, BELIEF 2021, Shanghai, China, October 15-19, 2021, Proceedings / Thierry Denœux, Eric Lefèvre, Zhunga Liu, Frédéric Pichon (eds.).
2021
T57.95 .I582 2021
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Title
Belief functions : theory and applications : 6th International Conference, BELIEF 2021, Shanghai, China, October 15-19, 2021, Proceedings / Thierry Denœux, Eric Lefèvre, Zhunga Liu, Frédéric Pichon (eds.).
ISBN
9783030886011 (electronic book)
3030886018 (electronic book)
9783030886004 (print)
303088600X
3030886018 (electronic book)
9783030886004 (print)
303088600X
Published
Cham : Springer, [2021]
Language
English
Description
1 online resource (309 pages)
Other Standard Identifiers
10.1007/978-3-030-88601-1 doi
Call Number
T57.95 .I582 2021
Dewey Decimal Classification
658.4/03
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.
Note
Includes author index.
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Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from digital title page (viewed on November 02, 2021).
Series
Lecture notes in computer science ; 12915.
Lecture notes in computer science. Lecture notes in artificial intelligence.
LNCS sublibrary. SL 7, Artificial intelligence.
Lecture notes in computer science. Lecture notes in artificial intelligence.
LNCS sublibrary. SL 7, Artificial intelligence.
Available in Other Form
Belief Functions: Theory and Applications.
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Table of Contents
Clustering
Transfer learning
Classification
Statistical inference and learning
Deep learning
Conflict, inconsistency and specificity
Information fusion
Elicitation
Algorithms and computation.
Transfer learning
Classification
Statistical inference and learning
Deep learning
Conflict, inconsistency and specificity
Information fusion
Elicitation
Algorithms and computation.