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