Scaling Up Generalized Kernel Methods.
Bin GuZhiyuan DangZhouyuan HuoCheng DengHeng HuangPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2022)
Keyphrases
- kernel methods
- kernel function
- feature space
- machine learning
- learning problems
- support vector
- kernel matrix
- support vector machine
- learning tasks
- reproducing kernel hilbert space
- similarity function
- kernel ridge regression
- kernel pca
- kernel trick
- kernel matrices
- feature selection
- multiple kernel
- kernel based clustering
- high dimensional
- kernel fisher discriminant analysis
- kernel parameters
- high dimensional feature space
- data sets
- dimensionality reduction
- data points