Graph-based Discriminators: Sample Complexity and Expressiveness.
Roi LivniYishay MansourPublished in: CoRR (2019)
Keyphrases
- sample complexity
- theoretical analysis
- learning problems
- pac learning
- vc dimension
- upper bound
- special case
- supervised learning
- active learning
- learning algorithm
- lower bound
- training examples
- generalization error
- semi supervised
- pac learnability
- sample size
- concept classes
- covering numbers
- sample complexity bounds
- average case
- machine learning algorithms
- irrelevant features
- worst case
- decision trees
- machine learning