Kernel Absolute Summability Is Sufficient but Not Necessary for RKHS Stability.
Mauro BisiaccoGianluigi PillonettoPublished in: SIAM J. Control. Optim. (2020)
Keyphrases
- reproducing kernel hilbert space
- kernel methods
- kernel function
- reproducing kernel
- loss function
- support vector
- euclidean space
- kernel matrix
- learning theory
- regularized least squares
- gaussian kernels
- special case
- learning problems
- gaussian kernel
- density estimation
- data dependent
- representer theorem
- domain adaptation
- feature space
- positive definite
- kernel machines
- machine learning
- real valued
- support vector machine
- graph kernels
- hilbert space
- distance measure
- data sets
- random projections
- stability analysis
- kernel pca
- linear model
- input space
- regression model