选课选项
This course presents the main formalisms for uncertainty representation: probability and possibility theories, Bayesian networks, logical representations, theory of belief functions. Examples taken from different domains (artificial intelligence, multi-sensor fusion, machine learning) will illustrate the theoretical notions.
- Responsable: Denoeux Thierry
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