Keyphrases
- cubic spline
- uniform convergence
- sufficient conditions
- curve fitting
- risk minimization
- learning rate
- b spline
- reproducing kernel hilbert space
- vc dimension
- statistical learning theory
- real valued
- generalization error
- upper and lower bounds
- generalization bounds
- gaussian kernels
- sample complexity
- large deviations
- least squares
- learning theory
- data dependent
- linear combination
- image segmentation
- feature extraction
- active learning
- semi supervised
- ranking functions
- active contours
- kernel function
- learning algorithm
- sample size