PAC-Learning in the Presence of One-sided Classification Noise.
Hans Ulrich SimonPublished in: ISAIM (2012)
Keyphrases
- classification noise
- pac learning
- uniform distribution
- computational learning theory
- learning theory
- attribute noise
- sample size
- sample complexity
- learning problems
- statistical queries
- concept classes
- target concept
- decision lists
- decision trees
- agnostic learning
- membership queries
- mistake bound
- active learning
- vc dimension
- boolean functions
- class conditional
- model selection
- noise tolerant