Best kernel approximation in Bergman spaces.
Wei QuTao QianHaichou LiKehe ZhuPublished in: Appl. Math. Comput. (2022)
Keyphrases
- error bounds
- component analysis
- approximation spaces
- kernel function
- mutual subspace method
- series expansion
- special case
- closed form
- kernel methods
- approximation methods
- relative error
- convolution kernel
- sparse kernel
- gram matrix
- kernel space
- polynomial kernels
- approximation error
- graph kernels
- neural network
- riemannian manifolds
- kernel learning
- feature space
- support vector
- machine learning