Scalable Uncertainty Management, 1st ed. 2016 10th International Conference, SUM 2016, Nice, France, September 21-23, 2016, Proceedings Lecture Notes in Artificial Intelligence Series
Coordonnateurs : Schockaert Steven, Senellart Pierre
This book constitutes the refereed proceedings of the 10th International Conference on Scalable Uncertainty Management, SUM 2016, held in Nice, France, in September 2016.
The 18 regular papers and 5 short papers were carefully reviewed and selected from 35 submissions. Papers are solicited in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information. These include (but are not restricted to) applications in decision support systems, risk analysis, machine learning, belief networks, logics of uncertainty, belief revision and update, argumentation, negotiation technologies, semantic web applications, search engines, ontology systems, information fusion, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.
Includes supplementary material: sn.pub/extras
Date de parution : 08-2016
Ouvrage de 361 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 52,74 €
Ajouter au panierThèmes de Scalable Uncertainty Management :
Mots-clés :
fuzzy databases; heuristic information; multiple-agent logic; probabilistic databases; reinforcement learning; approximate reasoning; argumentation; artificial intelligence; data provenance; dempster-shafer theory; fuzzy logic; imperfect information; learning to rank; probabilistic logic programming; probabilistic models; risk analysis; similarity; statistical relational learning; translations; uncertainty