Feature selection for support vector regression via Kernel penalization.
Sebastián MaldonadoRichard WeberPublished in: IJCNN (2010)
Keyphrases
- support vector regression
- kernel learning
- support vector
- kernel function
- feature selection
- support vector classification
- support vector machine
- feature space
- hybrid model
- feature set
- regression method
- multi task
- extreme learning machine
- kernel methods
- regression model
- classification accuracy
- support vector machine svm
- response surface methodology
- feature subset
- kernel matrix
- multiple kernel learning
- hybrid genetic
- nonlinear regression
- cross validation
- wavelet frame
- electronic equipment
- loss function
- singular spectrum analysis
- multiple kernel
- forecasting model
- wavelet neural network
- pattern recognition
- forecasting accuracy
- penalty function
- radial basis function
- text classification
- artificial neural networks