Regularization in Regression with Bounded Noise: A Chebyshev Center Approach.
Amir BeckYonina C. EldarPublished in: SIAM J. Matrix Anal. Appl. (2007)
Keyphrases
- kernel ridge regression
- reproducing kernel hilbert space
- noisy data
- noise level
- regression model
- additive noise
- model selection
- data dependent
- missing data
- noise reduction
- regression analysis
- noise model
- nonlinear functions
- wiener filter
- ridge regression
- support vector regression
- semi supervised
- image noise
- image deconvolution
- gradient boosting