Density of sampling and interpolation in reproducing kernel Hilbert spaces.
Hartmut FührKarlheinz GröchenigAntti HaimiAndreas KlotzJosé Luis RomeroPublished in: J. Lond. Math. Soc. (2017)
Keyphrases
- reproducing kernel hilbert space
- reproducing kernel
- gaussian kernels
- loss function
- kernel methods
- uniform convergence
- kernel function
- special case
- euclidean space
- learning theory
- covering numbers
- data dependent
- domain adaptation
- gaussian process
- real valued
- distance measure
- hilbert space
- random sampling
- density estimation
- sample size
- representer theorem
- support vector
- learning problems
- kernel matrix
- input space
- parameter space
- training data
- prior knowledge
- high dimensional