Scaling Kernels: A New Least Squares Support Vector Machine Kernel for Approximation.
Xiangyang MuTaiyi ZhangYatong ZhouPublished in: MICAI (2007)
Keyphrases
- least squares support vector machine
- ls svm
- kernel function
- polynomial kernels
- support vector
- kernel methods
- least squares
- kernel matrix
- kernel learning
- multiple kernel learning
- reproducing kernel hilbert space
- statistical learning theory
- kernel machines
- decision trees
- support vector machine
- feature space
- radial basis function
- cross validation
- training set
- rbf neural network
- correlation coefficient
- small sample
- closed form
- optical flow
- parameter estimation