Adaptive regularization of neural networks using conjugate gradient.
Cyril GoutteJan LarsenPublished in: ICASSP (1998)
Keyphrases
- conjugate gradient
- adaptive regularization
- neural network
- training algorithm
- parameter selection
- levenberg marquardt
- back propagation
- super resolution
- image deblurring
- total variation
- maximum likelihood estimation
- artificial neural networks
- convergence rate
- regularization parameter
- reproducing kernel hilbert space
- fuzzy logic
- faster convergence
- support vector machine
- neural network model
- training process
- image restoration
- learning rate
- hidden layer
- fault diagnosis
- least squares
- probabilistic model
- higher order
- denoising
- optical flow
- machine learning