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

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
• Edizione: 1st ed. 2021.
• Descrizione fisica: 1 online resource (309 pages)
• Disciplina: 006.3
• Soggetto topico: 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
• Persona (resp. second.): DenoeuxThierry
• Nota di contenuto: Clustering -- Transfer learning -- Classification -- Statistical inference and learning -- Deep learning -- Conflict, inconsistency and specificity -- Information fusion -- Elicitation -- Algorithms and computation.
• Sommario/riassunto: 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.
• Titolo autorizzato: Belief Functions: Theory and Applications
• ISBN: 3-030-88601-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910502589403321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Artificial Intelligence, . 2945-9141 ; ; 12915