Keyphrases
- covering numbers
- uniform convergence
- vc dimension
- gaussian kernels
- sample complexity
- statistical learning theory
- learning rate
- reproducing kernel hilbert space
- sample size
- sufficient conditions
- statistical learning
- learning algorithm
- upper bound
- gaussian kernel
- generalization bounds
- risk minimization
- special case
- active learning
- training set