The Bounds on the Rate of Uniform Convergence of Learning Process on Uncertainty Space.
Xiankun ZhangMinghu HaJing WuChao WangPublished in: ISNN (1) (2009)
Keyphrases
- uniform convergence
- covering numbers
- learning process
- reproducing kernel hilbert space
- empirical risk minimization
- generalization bounds
- learning rate
- sufficient conditions
- vc dimension
- risk minimization
- real valued
- large deviations
- statistical learning theory
- upper and lower bounds
- generalization error
- active learning
- e learning
- sample complexity
- gaussian kernels
- data dependent
- distribution free
- loss function
- learning theory
- ranking functions
- vector space
- low dimensional
- machine learning