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Belief Functions: Theory and Applications [electronic resource] : 5th International Conference, BELIEF 2018, Compiègne, France, September 17-21, 2018, Proceedings / edited by Sébastien Destercke, Thierry Denoeux, Fabio Cuzzolin, Arnaud Martin.

Contributor(s): Material type: TextSeries: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018Description: XI, 280 p. 58 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319993836
Subject(s): DDC classification:
  • 006.3 23
Online resources:
Contents:
Uncertainty Quantification -- Fuzzy sets -- Belief Functions -- Imprecise Probabilities -- Machine Learning -- Imprecision Data Science -- Statistics -- Graphical Models -- Information Fusion.
Summary: 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.
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Uncertainty Quantification -- Fuzzy sets -- Belief Functions -- Imprecise Probabilities -- Machine Learning -- Imprecision Data Science -- Statistics -- Graphical Models -- Information Fusion.

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.

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