Error analysis of the kernel regularized regression based on refined convex losses and RKBSs.
Baohuai ShengLan ZuoPublished in: Int. J. Wavelets Multiresolution Inf. Process. (2021)
Keyphrases
- error analysis
- least squares
- risk minimization
- reproducing kernel hilbert space
- hinge loss
- regularized least squares
- error correction
- positive semidefinite
- kernel function
- cross ratio
- kernel methods
- feature space
- piecewise linear
- bregman divergences
- support vector
- convex optimization
- gaussian process
- loss function
- error estimates
- optimal kernel
- objective function
- convex functions
- total least squares
- page segmentation
- convex hull
- kernel discriminant analysis
- kernel machines
- convex sets
- kernel matrix
- optical flow