Vai al contenuto principale della pagina

Scalable Uncertainty Management : 15th International Conference, SUM 2022, Paris, France, October 17–19, 2022, Proceedings / / edited by Florence Dupin de Saint-Cyr, Meltem Öztürk-Escoffier, Nico Potyka



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Autore: Dupin de Saint-Cyr Florence Visualizza persona
Titolo: Scalable Uncertainty Management : 15th International Conference, SUM 2022, Paris, France, October 17–19, 2022, Proceedings / / edited by Florence Dupin de Saint-Cyr, Meltem Öztürk-Escoffier, Nico Potyka Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Edizione: 1st ed. 2022.
Descrizione fisica: 1 online resource (374 pages)
Disciplina: 003.54
Soggetto topico: Artificial intelligence
Artificial Intelligence
Persona (resp. second.): Öztürk-EscoffierMeltem
PotykaNico
Nota di contenuto: Tutorial Articles -- Full Papers: Non-classical Reasoning -- Full Papers: Inconsistency -- Full Papers: Decision Making and Social Choice -- Full Papers: Learning -- Full Papers: Explanation -- Short Papers: Non-classical Reasoning -- Short Papers: Explanation. .
Sommario/riassunto: This book constitutes the refereed proceedings of the 15th International Conference on Scalable Uncertainty Management, SUM 2022, which was held in Paris, France, in October 2022. The 19 full and 4 short papers presented in this volume were carefully reviewed and selected from 25 submissions. Besides that, the book also contains 3 abstracts of invited talks and 2 tutorial papers. The conference aims to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as artificial intelligence and machine learning, databases, information retrieval and data mining, the semantic web and risk analysis. The chapter "Defining and Enforcing Descriptive Accuracy in Explanations: the Case of Probabilistic Classifiers" is licensed under the terms of the Creative Commons Attribution 4.0 International License.
Titolo autorizzato: Scalable uncertainty management  Visualizza cluster
ISBN: 9783031188435
3031188438
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910617303603321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Lecture Notes in Artificial Intelligence, . 2945-9141 ; ; 13562