Keyphrases
- uniform convergence
- sufficient conditions
- learning rate
- covering numbers
- statistical learning theory
- risk minimization
- inductive inference
- vc dimension
- reproducing kernel hilbert space
- machine learning
- real valued
- generalization error
- ranking functions
- large deviations
- gaussian kernels
- generalization bounds
- training data
- data sets
- special case
- learning theory
- theoretical framework
- loss function