Probabilistic Approach to characterize Quantitative uncertainty in numerical Approximations.
Joël ChaskalovicFranck AssousPublished in: Math. Model. Anal. (2017)
Keyphrases
- uncertain data
- qualitative and quantitative
- conditional probabilities
- bayesian networks
- probability measures
- probability theory
- numerical methods
- closed form
- decision theory
- probabilistic model
- probabilistic knowledge
- handling uncertainty
- numerical analysis
- sensitivity analysis
- qualitative models
- quantitative and qualitative
- belief functions
- probabilistic reasoning
- artificial intelligence
- probabilistic logic
- machine learning
- reasoning under uncertainty
- probability measure
- expected utility
- data driven
- context sensitive
- incomplete information
- fuzzy sets
- exact and approximate
- reinforcement learning
- image sequences
- decision making
- genetic algorithm
- inherent uncertainty
- neural network
- imprecise probabilities