Uncertainty Propagation in Stochastic Systems via Mixture Models with Error Quantification.
Eduardo FigueiredoAndrea PataneMorteza LahijanianLuca LaurentiPublished in: CoRR (2024)
Keyphrases
- mixture model
- stochastic systems
- confidence intervals
- gaussian mixture model
- em algorithm
- probabilistic model
- generative model
- stochastic models
- density estimation
- error rate
- expectation maximization
- sample path
- maximum likelihood
- unsupervised learning
- mixture modeling
- probability density function
- model selection
- language model
- conditional probabilities
- image processing
- supervised learning
- training set
- training data
- computer vision