Efficient model selection for Support Vector Machine with Gaussian kernel function.
Yaohua TangWeimin GuoJinghuai GaoPublished in: CIDM (2009)
Keyphrases
- model selection
- kernel function
- support vector machine
- kernel matrix
- cross validation
- kernel methods
- support vector
- rbf kernel
- machine learning
- feature selection
- hyperparameters
- polynomial kernels
- hyperplane
- selection criterion
- input space
- kernel machines
- support vector regression
- svm classifier
- learning machines
- feature space
- sample size
- support vectors
- variable selection
- generalization error
- gaussian kernels
- model selection criteria
- regression model
- generalization ability
- support vector machine svm
- mixture model
- training data
- learning tasks
- gaussian kernel
- gaussian process
- feature set
- feature vectors
- kernel parameters
- knn
- reproducing kernel hilbert space
- high dimensional
- training set
- objective function