Practical Computation of Graph VC-Dimension.
David CoudertMónika CsikósGuillaume DucoffeLaurent ViennotPublished in: CoRR (2024)
Keyphrases
- vc dimension
- upper bound
- concept classes
- sample complexity
- lower bound
- covering numbers
- inductive inference
- vapnik chervonenkis dimension
- sample size
- pac learnability
- distribution free
- statistical learning theory
- empirical risk minimization
- pac learning
- uniform convergence
- worst case
- generalization bounds
- compression scheme
- concept learning
- concept class
- euclidean space
- semi supervised
- active learning