Integrated Uncertainty in Knowledge Modelling and Decision Making [[electronic resource] ] : 10th International Symposium, IUKM 2023, Kanazawa, Japan, November 2–4, 2023, Proceedings, Part II / / edited by Katsuhiro Honda, Bac Le, Van-Nam Huynh, Masahiro Inuiguchi, Youji Kohda

• Autore: Honda Katsuhiro
• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
• Edizione: 1st ed. 2023.
• Descrizione fisica: 1 online resource (388 pages)
• Disciplina: 006.3
• Soggetto topico: Artificial intelligence; Computer science - Mathematics; Database management; Algorithms; Artificial Intelligence; Mathematics of Computing; Database Management System; Design and Analysis of Algorithms
• Altri autori: LeBac HuynhVan-Nam InuiguchiMasahiro KohdaYouji
• Nota di contenuto: Machine Learning -- Pattern Classification and Data Analysis -- Security and Privacy in Machine Learning.
• Sommario/riassunto: These two volumes constitute the proceedings of the 10th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2023, held in Kanazawa, Japan, during November 2-4, 2023. The 58 full papers presented were carefully reviewed and selected from 107 submissions. The papers deal with all aspects of research results, ideas, and experiences of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.
• Titolo autorizzato: Integrated Uncertainty in Knowledge Modelling and Decision Making
• ISBN: 3-031-46781-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996558465603316
• Lo trovi qui: Univ. di Salerno
• Serie: Lecture Notes in Artificial Intelligence, . 2945-9141 ; ; 14376