Teaching and compressing for low VC-dimension.
Shay MoranAmir ShpilkaAvi WigdersonAmir YehudayoffPublished in: Electron. Colloquium Comput. Complex. (2015)
Keyphrases
- vc dimension
- upper bound
- sample complexity
- sample size
- lower bound
- inductive inference
- vapnik chervonenkis dimension
- generalization bounds
- concept classes
- covering numbers
- statistical learning theory
- compression scheme
- empirical risk minimization
- concept class
- distribution free
- data compression
- uniform convergence
- learning process
- learning environment
- e learning
- pac learning
- euclidean space
- pac learnability
- worst case
- learning theory
- special case
- data sets
- training examples
- model selection
- multiresolution
- decision trees
- machine learning