A novel online adaptive kernel method with kernel centers determined by a support vector regression approach.
L. G. SunCoen C. de VisserQiping ChuJ. A. MulderPublished in: Neurocomputing (2014)
Keyphrases
- kernel methods
- support vector regression
- kernel function
- support vector
- support vector machine
- kernel learning
- kernel matrix
- reproducing kernel hilbert space
- learning problems
- input space
- hybrid model
- multiple kernel
- learning tasks
- kernel parameters
- kernel pca
- feature space
- multiple kernel learning
- regression model
- kernel machines
- support vector classification
- feature maps
- autoregressive conditional heteroscedasticity
- real valued
- feature set
- semi supervised
- high dimensional
- tree kernels
- special case
- reproducing kernel
- pattern recognition