Belief Functions: Theory and Applications [electronic resource] : 6th International Conference, BELIEF 2021, Shanghai, China, October 15-19, 2021, Proceedings / edited by Thierry Denœux, Eric Lefèvre, Zhunga Liu, Frédéric Pichon.
Contributor(s): Denœux, Thierry [editor.]
| Lefèvre, Eric [editor.] | Liu, Zhunga [editor.] | Pichon, Frédéric [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Artificial Intelligence: 12915Publisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021.Description: XI, 310 p. 48 illus., 33 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030886011.Subject(s): 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 NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online Clustering -- Transfer learning -- Classification -- Statistical inference and learning -- Deep learning -- Conflict, inconsistency and specificity -- Information fusion -- Elicitation -- Algorithms and computation.
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.
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