Hitting sets when the VC-dimension is small.
Guy EvenDror RawitzShimon ShaharPublished in: Inf. Process. Lett. (2005)
Keyphrases
- vc dimension
- sample complexity
- concept classes
- upper bound
- inductive inference
- lower bound
- distribution free
- generalization bounds
- covering numbers
- sample size
- pac learnability
- vapnik chervonenkis dimension
- compression scheme
- statistical learning theory
- empirical risk minimization
- pac learning
- uniform convergence
- semi supervised learning
- worst case
- concept class