Distribution-Independent PAC Learning of Halfspaces with Massart Noise.
Ilias DiakonikolasThemis GouleakisChristos TzamosPublished in: CoRR (2019)
Keyphrases
- pac learning
- uniform distribution
- agnostic learning
- concept classes
- membership queries
- attribute noise
- target concept
- classification noise
- decision lists
- computational learning theory
- learning theory
- term dnf
- sample complexity
- concept class
- exact learning
- vc dimension
- pac learnable
- sample size
- statistical queries
- noise level
- boolean functions
- learning problems
- pac learning model
- dnf formulas
- gaussian noise
- learning models
- equivalence queries
- noise tolerant
- noisy data
- noisy environments
- memory based learning
- pac model
- mistake bound
- machine learning
- noise model
- cross validation
- support vector