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Titlebook: Symbolic and Quantitative Approaches to Reasoning with Uncertainty; 14th European Confer Alessandro Antonucci,Laurence Cholvy,Odile Papini

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On Relating Abstract and Structured Probabilistic Argumentation: A Case Studyels of probabilistic argumentation. First some challenges are identified for incorporating probabilistic notions of argument strength in structured models of argumentation. Then it is investigated to what extent Timmer et al’s approach meets these challenges and satisfies semantics and rationality c
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Expert Opinion Extraction from a Biomedical Databasech with the definition of pattern and support measure. The support measure is derived from the commitment definition. A new algorithm called OpMiner that extracts the set of frequent opinions modelled as a mass functions is detailed. Finally, we apply our approach on a real-world biomedical database
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Iterative Aggregation of Crowdsourced Tasks Within the Belief Function Theorys. However, the quality of the crowd-generated labels remains an open issue. This is basically due to the wide ranging expertise levels of the participants in the labeling process. In this paper, we present an iterative approach of label aggregation based on the belief function theory that simultano
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0302-9743 Approaches to Reasoning with Uncertainty, ECSQARU 2017, held in Lugano, Switzerland, in July 2017. The 44 revised full papers presented together with 5 abstracts of invited talks were carefully reviewed and selected from 63 submissions and cover topics on analogical reasoning; argumentation; Bayesi
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