Learning Linear Threshold Functions in the Presence of Classification Noise.
Tom BylanderPublished in: COLT (1994)
Keyphrases
- classification noise
- linear threshold functions
- pac learning
- agnostic learning
- noise tolerant
- learning algorithm
- background knowledge
- decision trees
- active learning
- statistical queries
- concept classes
- class conditional
- learning tasks
- machine learning
- uniform distribution
- computational learning theory
- concept learning
- exact learning
- learning problems
- reinforcement learning