Symbolic and Quantiative Approaches to Resoning with Uncertainty [electronic resource] : 12th European Conference, ECSQARU 2013, Utrecht, The Netherlands, July 8-10, 2013, Proceedings / edited by Linda C. van der Gaag.
Contributor(s): van der Gaag, Linda C [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Artificial Intelligence: 7958Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Edition: 1st ed. 2013.Description: XII, 536 p. 62 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642390913.Subject(s): Artificial intelligence | Application software | Computer science | Machine theory | Information storage and retrieval systems | Computer networks | Artificial Intelligence | Computer and Information Systems Applications | Computer Science Logic and Foundations of Programming | Formal Languages and Automata Theory | Information Storage and Retrieval | Computer Communication NetworksAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 12th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2013, held in Utrecht, The Netherlands, in July 2013. The 44 revised full papers presented were carefully reviewed and selected from 89 submissions. Papers come from researchers interested in advancing the technology and from practitioners using uncertainty techniques in real-world applications. The scope of the ECSQARU conferences encompasses fundamental issues, representation, inference, learning, and decision making in qualitative and numeric uncertainty paradigms.This book constitutes the refereed proceedings of the 12th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2013, held in Utrecht, The Netherlands, in July 2013. The 44 revised full papers presented were carefully reviewed and selected from 89 submissions. Papers come from researchers interested in advancing the technology and from practitioners using uncertainty techniques in real-world applications. The scope of the ECSQARU conferences encompasses fundamental issues, representation, inference, learning, and decision making in qualitative and numeric uncertainty paradigms.
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