On Asymptotic Properties of Hyperparameter Estimators for Kernel-based Regularization Methods.
Bi-Qiang MuTianshi ChenLennart LjungPublished in: CoRR (2017)
Keyphrases
- asymptotic properties
- regularization methods
- regularization parameter
- hyperparameters
- edge preserving
- total variation
- support vector
- inverse problems
- regularization method
- fixed point
- model selection
- gaussian processes
- cross validation
- maximum a posteriori
- kernel methods
- random sampling
- image restoration
- support vector machine
- iterative methods
- gaussian process
- bayesian inference
- structure tensor
- closed form
- image reconstruction
- image denoising
- mumford shah
- maximum likelihood
- sample size
- prior information
- global optimization
- incremental learning
- bayesian framework
- multiple kernel learning