Code
01P10110
Duration
01 October 2010 → 30 September 2014
Funding
Regional and community funding: Special Research Fund
Promotor
Research disciplines
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Natural sciences
- Applied mathematics in specific fields
- Statistics and numerical methods
- Artificial intelligence
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Social sciences
- Cognitive science and intelligent systems
Keywords
theory of imprecise probabilities
uncertainty modelling
probabilistic graphical models
Project description
Probabilistic graphical models describe complex problems in a manageable way they provide tools to answer questions and make decisions. Most such models force us to assess the uncertainties present precisely. We will present a mathematical description of a class of graphical models for situations where this is not possible. Algrorithms for constructing and using them will be proposed and applied.