Dieses Buch präsentiert ein breites Spektrum aktueller Methoden zur Repräsentation und Verarbeitung (un)sicheren Wissens in maschinellen Systemen in didaktisch aufbereiteter Form. Mit einer weitgehend vollständigen Darstellung des Stoffes und zahlreichen, in den Text integrierten Aufgaben ist das Buch für ein Selbststudium konzipiert, eignet sich aber gleichermaßen für eine entsprechende Vorlesung.
Christoph Beierle Bücher



Foundations of Information and Knowledge Systems
8th International Symposium, FoIKS 2014, Bordeaux, France, March 3-7, 2014. Proceedings
- 451 Seiten
- 16 Lesestunden
This book constitutes the proceedings of the 8th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2014, held in Bordeaux, France, in March 2014. The 14 revised full papers presented together with 5 revised short papers and two invited talks were carefully reviewed and selected from 52 submissions. The papers address various topics such as database design, dynamics of information, information fusion, integrity and constraint management, intelligent agents, knowledge discovery and information retrieval, knowledge representation, reasoning and planning, logics in databases and AI, mathematical foundations, security in information and knowledge Systems, semi-structured data and XML, social computing, the semantic Web and knowledge management as well as the WWW.
Scalable Uncertainty Management
9th International Conference, SUM 2015, Québec City, QC, Canada, September 16-18, 2015. Proceedings
- 421 Seiten
- 15 Lesestunden
This book constitutes the refereed proceedings of the 9th International Conference on Scalable Uncertainty Management, SUM 2015, held in Québec City, QC, Canada, in September 2015. The 25 regular papers and 3 short papers were carefully reviewed and selected from 49 submissions. The call for papers for SUM 2015 solicited submissions in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information. These include 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.