Learning rates for classification with Gaussian kernels.
Shaobo LinJinshan ZengXiangyu ChangPublished in: CoRR (2017)
Keyphrases
- gaussian kernels
- learning rate
- covering numbers
- feature space
- high dimensional feature space
- kernel function
- kernel learning
- gaussian kernel
- feature vectors
- kernel principal component analysis
- reproducing kernel hilbert space
- convergence rate
- multiple kernel learning
- support vector machine
- classification method
- feature extraction
- support vector
- learning algorithm
- uniform convergence
- kernel methods
- vc dimension
- principal components
- machine learning algorithms
- support vector machine svm
- training samples
- least squares
- upper bound
- feature selection