Keyphrases
- pac learning
- concept classes
- uniform distribution
- classification noise
- noise model
- sample size
- computational learning theory
- sample complexity
- learning theory
- pac model
- learning problems
- decision lists
- target concept
- noise level
- agnostic learning
- mistake bound
- vc dimension
- attribute noise
- gaussian noise
- membership queries
- concept class
- noise reduction
- data mining
- noisy data
- theoretical analysis
- text classification
- boolean functions
- worst case
- decision trees