Out-of-Sample Extensions for Non-Parametric Kernel Methods.
Binbin PanWen-Sheng ChenBo ChenChen XuJianhuang LaiPublished in: IEEE Trans. Neural Networks Learn. Syst. (2017)
Keyphrases
- kernel methods
- graph kernels
- support vector
- learning problems
- kernel function
- machine learning
- feature space
- similarity function
- learning tasks
- kernel pca
- kernel matrix
- support vector machine
- kernel matrices
- reproducing kernel hilbert space
- kernel ridge regression
- multiple kernel learning
- multiple kernel
- kernel fisher discriminant analysis
- kernel trick
- gaussian processes
- high dimensional
- data sets