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

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Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes in Artificial Intelligence ; 12915Publisher: Cham : Springer International Publishing, 2021Publisher: Cham : Imprint: Springer, 2021Edition: 1st ed. 2021Description: 1 Online-Ressource(XI, 310 p. 48 illus., 33 illus. in color.)ISBN:

9783030886011

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Additional physical formats: 9783030886004 | 9783030886028 | Erscheint auch als: 9783030886004 Druck-Ausgabe | Erscheint auch als: 9783030886028 Druck-AusgabeDOI: DOI: 10.1007/978-3-030-88601-1Online resources:

Summary: Clustering -- Transfer learning -- Classification -- Statistical inference and learning -- Deep learning -- Conflict, inconsistency and specificity -- Information fusion -- Elicitation -- Algorithms and computation.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.PPN: PPN: 1774473690Package identifier: Produktsigel: ZDB-2-LNC | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-SEB

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