on attribute and classification noise - Estimating an upper bound on attribute and classification noise.
Akinobu MiyataJun TaruiEtsuji TomitaPublished in: Theor. Comput. Sci. (2011)
Keyphrases
- target concept
- pac learning
- classification noise
- uniform distribution
- concept classes
- membership queries
- concept class
- upper bound
- statistical queries
- sample size
- positive and negative
- learning theory
- pac model
- vc dimension
- decision lists
- training examples
- lower bound
- upper and lower bounds
- decision trees
- noise tolerant