Learning Rates for Classification with Gaussian Kernels.
Shaobo LinJinshan ZengXiangyu ChangPublished in: Neural Comput. (2017)
Keyphrases
- gaussian kernels
- learning rate
- covering numbers
- high dimensional feature space
- feature space
- kernel function
- kernel learning
- reproducing kernel hilbert space
- multiple kernel learning
- uniform convergence
- support vector
- kernel principal component analysis
- gaussian kernel
- convergence rate
- support vector machine svm
- learning algorithm
- support vector machine
- feature vectors
- machine learning
- classification method
- density estimation
- least squares
- feature extraction
- feature selection
- convergence speed
- high dimensional
- input space
- training samples
- model selection
- supervised learning