A Practical Approach to Model Selection for Support Vector Machines With a Gaussian Kernel.
Matthias VarewyckJean-Pierre MartensPublished in: IEEE Trans. Syst. Man Cybern. Part B (2011)
Keyphrases
- model selection
- gaussian kernel
- scale space
- cross validation
- kernel methods
- hyperparameters
- support vector machine
- optimal parameters
- regression model
- sample size
- rbf network
- machine learning
- mixture model
- reproducing kernel hilbert space
- feature selection
- parameter estimation
- variable selection
- generalization error
- image analysis
- gaussian process
- radial basis function
- data points
- multiscale