Asymptotic analysis in multivariate average case approximation with Gaussian kernels.
A. A. KhartovI. A. LimarPublished in: CoRR (2021)
Keyphrases
- average case
- asymptotic analysis
- gaussian kernels
- worst case
- fluid model
- covering numbers
- kernel function
- queueing networks
- uniform distribution
- learning rate
- gaussian kernel
- vc dimension
- reproducing kernel hilbert space
- feature space
- high dimensional feature space
- regression model
- lower bound
- loss function
- kernel methods
- learning problems
- sample complexity
- multiple kernel learning
- cross validation
- sample size
- dynamic programming