Optimal Training of Mean Variance Estimation Neural Networks.
Laurens SluijtermanEric CatorTom HeskesPublished in: CoRR (2023)
Keyphrases
- neural network
- training process
- pattern recognition
- training algorithm
- early stopping
- feedforward neural networks
- feed forward neural networks
- dynamic programming
- training phase
- optimal control
- training examples
- artificial neural networks
- accurate estimation
- feature space
- neural network training
- optical flow
- active learning
- fuzzy systems
- neural nets
- recurrent neural networks
- neural network model
- closed form
- test set
- back propagation