The optimization of the kind and parameters of kernel function in KPCA for process monitoring.
Mingxing JiaHengyuan XuXiaofei LiuNing WangPublished in: Comput. Chem. Eng. (2012)
Keyphrases
- kernel function
- kernel parameters
- kernel methods
- kernel principal component analysis
- support vector
- optimal kernel
- kernel machines
- support vector machine
- feature space
- kernel matrix
- high dimensional feature space
- input space
- high dimensional
- kernel pca
- dot product
- hyperplane
- support vector regression
- feature set
- reproducing kernel hilbert space
- kernel trick
- kernel learning
- positive definite
- support vectors
- graph kernels
- feature extraction
- high dimensional data
- training set
- similarity measure