Function spaces for conditionally positive definite operator-valued kernels.
Georg BerschneiderWolfgang zu CastellStefan J. SchrödlPublished in: Math. Comput. (2012)
Keyphrases
- positive definite
- kernel function
- reproducing kernel hilbert space
- covariance matrix
- geometric structure
- semi parametric
- diffusion tensor
- kernel matrix
- kernel methods
- feature space
- riemannian manifolds
- real valued
- support vector
- graph kernels
- singular value decomposition
- sample size
- linear combination
- sufficient conditions
- support vector machine
- special case
- machine learning