Bayesian Neural Network Versus Ex-Post Calibration For Prediction Uncertainty.
Satya BorgohainKlaus AckermannRuben Loaiza-MayaPublished in: CoRR (2022)
Keyphrases
- neural network
- prediction model
- prediction accuracy
- prediction intervals
- regression model
- decision theory
- artificial neural networks
- prediction algorithm
- dempster shafer
- neural network model
- genetic algorithm
- fuzzy logic
- radial basis function
- camera calibration
- prediction error
- bayesian networks
- multi layer perceptron
- chaotic time series
- predictive model
- posterior distribution
- stereo camera
- uncertain data
- feed forward
- back propagation
- belief functions
- gaussian processes
- associative memory
- gaze estimation
- neural network ensemble
- fermentation process
- mackey glass
- elman network