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                        BFTA 2023 - Call for Participation

      The 6th School on Belief Functions and their Applications
                               October 27 — Nov 1, 2023
Japan Advanced Institute of Science and Technology, Ishikawa, Japan

                                
https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbfasociety.org%2FBFTA2023%2F&data=05%7C01%7Cuai%40engr.orst.edu%7C18d11d0478fa4349409e08db5a0ba5ed%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638202778302961640%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=GCs2A6XQ09Hk8X%2BBGQcP7xRFQ7V9%2FD11fQGtuDq6c%2Bg%3D&reserved=0
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The BELIEF school is a biennial event organized by the Belief Functions and 
Applications Society (BFAS) that offers a unique opportunity for students and 
researchers to learn about fundamental and advanced aspects of the theory of 
belief functions (also referred to as Dempster-Shafer theory, or evidence 
theory), a formalism for reasoning with uncertainty.

The school will be organized around a set of lectures by prominent researchers. 
Lectures will gradually tackle basic to more advanced theoretical concepts. 
They will also highlight the links with other uncertainty theories such as 
random sets and possibility theory, and present applications of belief 
functions in various domains including machine learning, information fusion, 
statistical inference and materials science.

Important dates:

    • May 1, 2023: Registration opens
    • July 31, 2023: Deadline for early-bird registration
    • September 15, 2023: Deadline for registration

Financial support:

Financial support will be offered by BFAS to some students for attending the 
school. Details of the application procedure will be announced soon.

For further information, contact: bfta2...@bfasociety.org

Organizing committee:

    • Van-Nam Huynh (Chair), JAIST, Japan
    • Thierry Denœux, Université de technologie de Compiègne, France
    • Anne-Laure Jousselme, CS Group Research Lab, France
    • Fréderic Pichon, Université d'Artois, France




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