Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel.
Xin QiuElliot MeyersonRisto MiikkulainenPublished in: CoRR (2019)
Keyphrases
- neural network
- prediction accuracy
- prediction model
- input output
- artificial neural networks to predict
- neural network ensemble
- pattern recognition
- back propagation
- prediction algorithm
- measurement error
- prediction scheme
- kernel function
- support vector
- prediction error
- parzen window
- radial basis function network
- model selection
- neural networks and support vector machines
- neural network model
- artificial neural networks
- feature space
- estimation error
- kernel density estimation
- recurrent neural networks
- multiple kernel learning
- uncertain data
- video coding
- fuzzy logic
- support vector machine
- machine learning