Norm Regularization for Chaotic Time Series Prediction.
Li LiFangwan HuangZhiyong YuPublished in: GPC (2020)
Keyphrases
- norm regularization
- convex optimization
- canonical correlation analysis
- regularization methods
- total variation
- sparse representation
- matrix completion
- group lasso
- loss function
- multiple kernel learning
- max margin
- feature selection
- recurrent neural networks
- regression model
- prediction model
- inverse problems
- denoising
- ls svm
- least squares
- edge preserving
- image denoising
- regularization method
- kernel learning
- image classification
- regularization parameter
- variable selection
- low rank
- efficient optimization
- latent variables
- multi class
- support vector
- neural network