The Ivanov regularized Gauss-Newton method in Banach space with an a posteriori choice of the regularization radius.
Barbara KaltenbacherAndrej KlassenMario Luiz Previatti de SouzaPublished in: CoRR (2019)
Keyphrases
- newton method
- regularized least squares
- banach space
- regularization term
- reproducing kernel hilbert space
- sparse representation
- metric space
- risk minimization
- convergence analysis
- loss function
- total variation
- distance measure
- regularization parameter
- data dependent
- density estimation
- feature selection
- learning theory
- kernel methods
- training data