Keyphrases
- vc dimension
- decision trees
- multivariate decision trees
- upper bound
- sample complexity
- covering numbers
- concept classes
- lower bound
- inductive inference
- sample size
- vapnik chervonenkis dimension
- statistical learning theory
- compression scheme
- machine learning algorithms
- distribution free
- generalization bounds
- concept class
- empirical risk minimization
- uniform convergence
- machine learning
- training data
- pac learning
- worst case
- decision lists
- training set
- euclidean space
- ensemble methods
- supervised learning
- data sets
- bit rate