Another look at statistical learning theory and regularization.
Vladimir CherkasskyYunqian MaPublished in: Neural Networks (2009)
Keyphrases
- statistical learning theory
- empirical risk minimization
- kernel machines
- statistical learning
- support vector machine
- theoretical framework
- machine learning
- learning problems
- supervised classification
- vc dimension
- uniform convergence
- inductive inference
- granular computing
- active learning
- semi supervised
- support vector
- learning algorithm
- semi supervised learning
- rough set theory
- kernel learning