Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel.
Xin QiuElliot MeyersonRisto MiikkulainenPublished in: ICLR (2020)
Keyphrases
- neural network
- prediction model
- artificial neural networks to predict
- prediction accuracy
- pattern recognition
- neural network ensemble
- kernel density estimation
- input output
- kernel function
- artificial neural networks
- prediction scheme
- fuzzy logic
- estimation algorithm
- parameter estimation
- least squares support vector machine
- kernel methods
- feed forward
- kernel density
- measurement error
- fuzzy systems
- multi layer perceptron
- parzen window
- density estimation
- radial basis function network
- robust optimization
- multi layer
- missing data
- back propagation
- support vector
- genetic algorithm