Eigenvalues Ratio for Kernel Selection of Kernel Methods.
Yong LiuShizhong LiaoPublished in: AAAI (2015)
Keyphrases
- kernel methods
- kernel matrix
- kernel function
- support vector
- reproducing kernel hilbert space
- feature space
- learning problems
- machine learning
- kernel parameters
- multiple kernel
- kernel pca
- kernel ridge regression
- semidefinite programming
- support vector machine
- positive semidefinite
- kernel trick
- multiple kernel learning
- similarity function
- kernel matrices
- kernel learning
- kernel fisher discriminant analysis
- gaussian kernel
- graph kernels
- learning tasks
- high dimensional feature space
- positive definite
- reproducing kernel
- high dimensional
- kernel based clustering