Symbolic and quantitative approaches...
Clark Conference ((2005 :)

 

  • Symbolic and quantitative approaches to reasoning with uncertainty[electronic resource] :13th European Conference, ECSQARU 2015, Compiegne, France, July 15-17, 2015 : proceedings /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 003.54
    書名/作者: Symbolic and quantitative approaches to reasoning with uncertainty : 13th European Conference, ECSQARU 2015, Compiegne, France, July 15-17, 2015 : proceedings // edited by Sebastien Destercke, Thierry Denoeux.
    其他題名: ECSQARU 2015
    其他作者: Destercke, Sebastien.
    團體作者: Clark Conference
    出版者: Cham : : Springer International Publishing :, 2015.
    面頁冊數: xiii, 554 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Uncertainty (Information theory)
    標題: Artificial intelligence
    標題: Reasoning
    標題: Computer Science.
    標題: Artificial Intelligence (incl. Robotics)
    標題: Information Systems Applications (incl. Internet)
    標題: Logics and Meanings of Programs.
    標題: Mathematical Logic and Formal Languages.
    標題: Information Storage and Retrieval.
    標題: Computer Communication Networks.
    ISBN: 9783319208077 (electronic bk.)
    ISBN: 9783319208060 (paper)
    內容註: Decision theory and preferences -- Argumentation -- Conditionals -- Game theory -- Belief update -- Classification -- Inconsistency -- Graphical models -- Bayesian Networks -- Belief functions -- Logic -- Probabilistic graphical models for scalable data analytics.
    摘要、提要註: This book constitutes the refereed proceedings of the 13th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2015, held in Compiegne, France, in July 2015. The 49 revised full papers presented were carefully reviewed and selected from 69 submissions and cover topics on decision theory and preferences; argumentation; conditionals; game theory; belief update; classification; inconsistency; graphical models; Bayesian networks; belief functions; logic; and probabilistic graphical models for scalable data analytics. 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.
    電子資源: http://dx.doi.org/10.1007/978-3-319-20807-7
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