A New Upper Bound for the VC-Dimension of Visibility Regions
Alexander GilbersRolf KleinPublished in: CoRR (2012)
Keyphrases
- upper bound
- vc dimension
- lower bound
- sample complexity
- concept classes
- statistical learning theory
- worst case
- covering numbers
- empirical risk minimization
- distribution free
- concept class
- vapnik chervonenkis dimension
- sample size
- generalization bounds
- uniform convergence
- pac learning
- pac learnability
- generalization error
- data sets
- metric space
- theoretical analysis
- small number
- function classes
- np hard
- objective function
- machine learning