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Sébastien Destercke

    Belief Functions: Theory and Applications
    Symbolic and Quantitative Approaches to Reasoning with Uncertainty
    • Symbolic and Quantitative Approaches to Reasoning with Uncertainty

      13th European Conference, ECSQARU 2015, Compiègne, France, July 15-17, 2015. Proceedings

      • 567 Seiten
      • 20 Lesestunden

      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.

      Symbolic and Quantitative Approaches to Reasoning with Uncertainty
    • Belief Functions: Theory and Applications

      5th International Conference, BELIEF 2018, Compiègne, France, September 17-21, 2018, Proceedings

      • 291 Seiten
      • 11 Lesestunden

      This book constitutes the refereed proceedings of the 5th International Conference on Belief Functions, BELIEF 2018, held in Compiègne, France, in September 2018.The 33 revised regular papers presented in this book were carefully selected and reviewed from 73 submissions. The papers were solicited on theoretical aspects (including for example statistical inference, mathematical foundations, continuous belief functions) as well as on applications in various areas including classification, statistics, data fusion, network analysis and intelligent vehicles.

      Belief Functions: Theory and Applications