Calculating the VC-dimension of decision trees.
Özlem AslanOlcay Taner YildizEthem AlpaydinPublished in: ISCIS (2009)
Keyphrases
- vc dimension
- decision trees
- upper bound
- inductive inference
- sample size
- lower bound
- sample complexity
- covering numbers
- concept classes
- statistical learning theory
- vapnik chervonenkis dimension
- generalization bounds
- empirical risk minimization
- distribution free
- machine learning
- worst case
- uniform convergence
- compression scheme
- concept class
- pac learning
- euclidean space
- machine learning algorithms
- ensemble methods
- special case
- theoretical analysis