Keyphrases
- risk bounds
- data dependent
- uniform convergence
- generalization bounds
- statistical learning theory
- vc dimension
- learning algorithm
- stochastic processes
- statistical learning
- reproducing kernel hilbert space
- sample complexity
- support vector machine
- concept classes
- machine learning
- real valued
- inductive inference
- learning problems
- theoretical framework
- worst case
- support vector