Uncertainty estimation under model misspecification in neural network regression.
Maria R. CerveraRafael DätwylerFrancesco D'AngeloHamza KeurtiBenjamin F. GreweChristian HenningPublished in: CoRR (2021)
Keyphrases
- neural network
- ordinary least squares
- nonparametric regression
- regression model
- estimation problems
- neural network model
- semi parametric
- pattern recognition
- artificial neural networks
- fuzzy logic
- parameter estimation
- back propagation
- linear regression
- regression algorithm
- uncertain data
- regression methods
- neural nets
- fault diagnosis
- accurate estimation
- partial least squares
- feed forward neural networks
- support vector regression
- density estimation
- model selection
- genetic algorithm