On the Approximability of Partial VC Dimension.
Cristina BazganFlorent FoucaudFlorian SikoraPublished in: CoRR (2016)
Keyphrases
- vc dimension
- sample complexity
- upper bound
- lower bound
- covering numbers
- sample size
- inductive inference
- vapnik chervonenkis dimension
- statistical learning theory
- generalization bounds
- concept classes
- vapnik chervonenkis
- pac learning
- worst case
- uniform convergence
- distribution free
- empirical risk minimization
- compression scheme
- theoretical analysis
- euclidean space
- pac learnability
- concept class
- special case
- active learning
- supervised learning
- function classes
- small number