The Optimal Sample Complexity of PAC Learning.
Steve HannekePublished in: J. Mach. Learn. Res. (2016)
Keyphrases
- pac learning
- sample complexity
- theoretical analysis
- computational learning theory
- learning problems
- upper bound
- learning algorithm
- uniform distribution
- vc dimension
- sample size
- lower bound
- special case
- supervised learning
- pac learnability
- active learning
- generalization error
- decision lists
- target function
- training examples
- worst case
- learning theory
- target concept
- mistake bound
- concept classes
- irrelevant features
- agnostic learning
- machine learning
- membership queries
- objective function
- reinforcement learning
- number of irrelevant features