Keyphrases
- covering numbers
- uniform convergence
- vc dimension
- gaussian kernels
- sample complexity
- fat shattering
- statistical learning theory
- learning rate
- sufficient conditions
- reproducing kernel hilbert space
- sample size
- upper bound
- generalization bounds
- large deviations
- mistake bound
- concept classes
- function classes
- risk minimization
- learning problems
- pac learning
- distribution free
- target function
- upper and lower bounds
- machine learning
- inductive inference
- real valued
- ranking functions
- theoretical framework
- loss function
- theoretical analysis
- lower bound
- learning algorithm