Distribution-free consistency of empirical risk minimization and support vector regression.
Ji-Woong LeePramod P. KhargonekarPublished in: Math. Control. Signals Syst. (2009)
Keyphrases
- support vector regression
- distribution free
- empirical risk minimization
- vc dimension
- uniform convergence
- upper bound
- statistical learning theory
- sample complexity
- lower bound
- concept classes
- inductive inference
- regression model
- large deviations
- generalization bounds
- concept class
- sample size
- support vector
- kernel function
- compression scheme
- support vector machine svm
- kernel learning
- learning machines
- worst case
- euclidean space
- support vector machine
- normal distribution
- image processing
- neural network