A probabilistic optimization approach to deal with uncertainties in model calibration.
Nicolas Poiron-GuidoniPaul-Antoine BisgambigliaPublished in: CEC (2020)
Keyphrases
- probabilistic model
- similarity measure
- cost function
- mathematical model
- bayesian networks
- neural network
- theoretical analysis
- generative model
- optimization procedure
- prediction model
- optimization method
- experimental data
- optimization algorithm
- parameter estimation
- least squares
- objective function
- image segmentation
- decision trees