Optimal γ and C for ε-Support Vector Regression with RBF Kernels.
Longfei LuPublished in: CoRR (2015)
Keyphrases
- support vector regression
- support vector
- kernel function
- support vector classification
- optimal parameters
- support vector machine svm
- kernel learning
- support vector machine
- radial basis function
- rbf kernel
- hybrid model
- electronic equipment
- artificial neural networks
- feature space
- singular spectrum analysis
- response surface methodology
- regression model
- kernel methods
- hybrid genetic
- wavelet frame
- extreme learning machine
- sequential minimal optimization
- optimal solution
- gaussian processes
- wavelet neural network
- feature selection
- feed forward
- kernel matrix
- multiple kernel
- pattern recognition
- machine learning
- neural network