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Titlebook: Symbolic and Quantitative Approaches to Reasoning with Uncertainty; 13th European Confer Sébastien Destercke,Thierry Denoeux Conference pro

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书目名称Symbolic and Quantitative Approaches to Reasoning with Uncertainty
副标题13th European Confer
编辑Sébastien Destercke,Thierry Denoeux
视频videohttp://file.papertrans.cn/884/883856/883856.mp4
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Symbolic and Quantitative Approaches to Reasoning with Uncertainty; 13th European Confer Sébastien Destercke,Thierry Denoeux Conference pro
描述This book constitutes the refereed proceedings of the 13th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2015, held in Compiègne, 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.
出版日期Conference proceedings 2015
关键词Web-service; abstract argumentation; bayesian networks; belief function; big data; classification; cloud; c
版次1
doihttps://doi.org/10.1007/978-3-319-20807-7
isbn_softcover978-3-319-20806-0
isbn_ebook978-3-319-20807-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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Extracting Decision Rules from Qualitative Data Using Sugeno Integral: A Case-Studyggregations where it is possible to assign weights to groups of criteria. A method for deriving such weights from data is recalled. We also present results in the logical representation of Sugeno integrals. Then we show how to extract if-then rules expressing the selection of good situations on the
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Elicitation of a Utility from Uncertainty Equivalent Without Standard Gamblesty of an element . in . is derived from the probability . for which a gamble giving the best outcome in . with probability . and the worst outcome in . otherwise, is indifferent to getting . for sure. In many situations, uncertainty that can be observed on the true value of . concerns only neighbour
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Representing and Reasoning About Arguments Mined from Texts and Dialoguessons and possible claims and recursive embedding of such connections. Given a base of these arguments and counterarguments mined from texts or dialogues, we want be able combine them, deconstruct them, and to analyse them (for instance to check whether the set is inconsistent). To address these need
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Dialogue Games for Argumentation Frameworks with Necessitiesung argumentation framework where the support relation has the meaning of necessity (an argument is necessary for another one). We show how to extend the existing approach by accommodating the new support relation. We consider in this paper dialectical proof procedures for acceptability under ground
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