On Gaussian kernels on Hilbert spaces and kernels on hyperbolic spaces.
Jean Carlo GuellaPublished in: J. Approx. Theory (2022)
Keyphrases
- gaussian kernels
- hilbert space
- reproducing kernel hilbert space
- kernel function
- kernel principal component analysis
- kernel methods
- gaussian kernel
- learning rate
- loss function
- special case
- feature space
- support vector
- input space
- kernel learning
- feature maps
- kernel matrix
- high dimensional feature space
- data dependent
- density estimation
- real valued
- domain adaptation
- multiple kernel learning
- learning theory
- support vector machine
- euclidean space
- gaussian process
- kernel pca
- high dimensional
- preprocessing
- similarity measure
- riemannian manifolds
- convergence rate