VC-Dimension of Univariate Decision Trees.
Olcay Taner YildizPublished in: IEEE Trans. Neural Networks Learn. Syst. (2015)
Keyphrases
- vc dimension
- decision trees
- multivariate decision trees
- upper bound
- concept classes
- sample complexity
- covering numbers
- sample size
- statistical learning theory
- lower bound
- inductive inference
- vapnik chervonenkis dimension
- distribution free
- worst case
- concept class
- machine learning algorithms
- training data
- generalization bounds
- empirical risk minimization
- compression scheme
- learning problems
- uniform convergence
- pac learning
- machine learning
- theoretical analysis
- euclidean space
- decision lists
- function classes
- computational complexity
- learning algorithm
- special case
- learning tasks