Keyphrases
- uniform convergence
- covering numbers
- sufficient conditions
- risk minimization
- learning rate
- reproducing kernel hilbert space
- generalization error
- sample complexity
- vc dimension
- generalization bounds
- real valued
- statistical learning theory
- special case
- data sets
- convergence rate
- upper and lower bounds
- ranking functions
- large deviations
- gaussian kernels
- active learning
- support vector