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CALL FOR PARTICIPATION: REGISTRATION ONLINE: before
April, 30
Carthage, Tunisia, May 20-24, 2013
http://www.bfasociety.org/
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The theory of belief functions represents a new approach
devised to model and manage imprecise information in
Artificial and Computational Intelligence. The theory of
belief functions also referred to as evidence theory or
Dempster-Shafer theory, was first introduced by Arthur
P. Dempster in the context of statistical inference, and
was later developed by Glenn Shafer as a general
framework for modeling epistemic uncertainty. These
early contributions have been the starting points of
many important developments, including the Transferable
Belief Model and the Theory of Hints. The theory of
belief functions is now well established as a general
framework for reasoning with uncertainty, and has well
understood connections to other frameworks such as
probability, possibility and imprecise probability
theories. This theoretical framework has a broad field
of application, including information fusion, pattern
recognition, auditing, etc.
The second BFAS spring school will take place at IHEC in
the historical and magnificent city of Carthage in
Tunisia. The aim of this spring school is to promote
this theory and to introduce interested students and
researchers to the basics of belief functions, both
theoretical and applied. The school is organized into
several lectures given by international experts. They
will bring both theoretical and practical backgrounds,
in a friendly environment favoring interaction between
participants. Part of the time will be devoted to
practical work of real-world case studies.
SPEAKERS:
- Boutheina Ben Yaghlane (Tunisia)
- Thierry Denoeux (France)
- Didier Dubois (France)
- Zied Elouedi (Tunisia)
- Sylvie Le Hégarat-Mascle (France)
- Weiru Liu (United Kingdom)
- Arnaud Martin (France)
- Hung Nguyen (USA and Thailand)
- Rajendra Srivastava (USA)
CO-DIRECTORS OF THE SCHOOL
Boutheina Ben Yaghlane (Tunisia)
Khaled Mellouli (Tunisia)
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Pr. Arnaud MARTIN
Université de Rennes 1 / IUT de Lannion
UMR 6074 IRISA
Rue Edouard Branly BP 30219
22302 Lannion cedex, France
Phone: +(33)2.96.46.94.60
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