Estimating Parameters of Kernel Functions in Support Vector Learning.
Yi-Chao ChanWan-Jui LeeShie-Jue LeePublished in: SMC (2006)
Keyphrases
- kernel function
- support vector
- kernel methods
- kernel learning
- learning algorithm
- learning problems
- kernel machines
- learning machines
- kernel parameters
- hyperplane
- image processing
- representer theorem
- optimal kernel
- kernel matrix
- support vectors
- reinforcement learning
- support vector regression
- input space
- loss function
- support vector machine
- classification accuracy
- polynomial kernels
- feature space