UMR CNRS 7253

Thierry Denoeux
Thierry Denoeux
Thierry Denoeux
Thierry Denoeux
Thierry Denoeux

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en:sci22

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 Description:​ This course presents the main formalisms for uncertainty representation with emphasis on the theory of belief functions, which generalizes both probability theory and the set-membership approach (including interval analysis). Numerous examples taken from different domains (Artificial Intelligence,​ multi-sensor fusion, numerical modeling) will illustrate the theoretical notions. Description:​ This course presents the main formalisms for uncertainty representation with emphasis on the theory of belief functions, which generalizes both probability theory and the set-membership approach (including interval analysis). Numerous examples taken from different domains (Artificial Intelligence,​ multi-sensor fusion, numerical modeling) will illustrate the theoretical notions.
  
-**Program (Fall 2014)** Room O223 (PG2)+**Program (Fall 2014)** ​ 
 + 
 +Room O223 (PG2)
  
   - 10 September: Introduction to uncertainty ​   - 10 September: Introduction to uncertainty ​

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