Asymptotic Learning Curve and Renormalizable Condition in Statistical Learning Theory
Sumio WatanabePublished in: CoRR (2010)
Keyphrases
- learning curve
- statistical learning theory
- finite sample
- statistical learning
- machine learning
- learning problems
- theoretical framework
- support vector machine
- supervised classification
- uniform convergence
- kernel machines
- inductive inference
- vc dimension
- software developers
- active learning
- granular computing
- sample complexity
- sample size
- unsupervised learning
- rough sets
- worst case