On the Sample Complexity of PAC-Learning Using Random and Chosen Examples.
Bonnie EisenbergRonald L. RivestPublished in: COLT (1990)
Keyphrases
- pac learning
- pac learnable
- uniform distribution
- computational learning theory
- sample size
- classification noise
- learning theory
- sample complexity
- learning problems
- learning dnf
- concept classes
- efficiently learnable
- membership queries
- training examples
- vc dimension
- statistical queries
- randomly chosen
- exact learning
- data mining
- boolean functions
- learning algorithm
- decision lists
- pac model
- training set
- target concept
- active learning
- positive and negative examples
- support vector
- attribute noise
- model selection