Large-Scale Data-Dependent Kernel Approximation.
Catalin IonescuAlin-Ionut PopaCristian SminchisescuPublished in: AISTATS (2017)
Keyphrases
- data dependent
- reproducing kernel hilbert space
- decision function
- rademacher complexity
- risk bounds
- kernel function
- kernel methods
- error bounds
- generalization bounds
- feature space
- euclidean space
- regularized least squares
- kernel machines
- energy functional
- data sets
- energy minimization
- upper bound
- data points
- machine learning