approximation in the worst case setting over reproducing kernel Hilbert spaces.
Frances Y. KuoGrzegorz W. WasilkowskiHenryk WozniakowskiPublished in: J. Approx. Theory (2008)
Keyphrases
- reproducing kernel hilbert space
- worst case
- error bounds
- gaussian kernels
- reproducing kernel
- loss function
- covering numbers
- vc dimension
- kernel methods
- learning theory
- uniform convergence
- upper bound
- kernel function
- learning problems
- euclidean space
- lower bound
- np hard
- real valued
- density estimation
- gaussian process
- special case
- input space
- data dependent
- hilbert space
- representer theorem
- distance measure
- pairwise
- similarity measure
- linear model
- kernel matrix
- domain adaptation
- learning rate
- learning algorithm
- semi supervised learning