Sobolev Spaces, Kernels and Discrepancies over Hyperspheres.
Simon HubbertEmilio PorcuChris J. OatesMark GirolamiPublished in: CoRR (2022)
Keyphrases
- hilbert space
- kernel function
- scale space
- riemannian manifolds
- gaussian kernel
- data sets
- support vector
- kernel methods
- machine learning
- multiple kernel
- von neumann
- infinite dimensional
- image interpolation
- kernel learning
- reproducing kernel hilbert space
- hyperplane
- design space
- multiple kernel learning
- euclidean space
- finite dimensional
- multivariate time series
- svm classifier
- linear combination
- feature space
- gaussian kernels
- feature extraction