A two-level approach to choose the cost parameter in support vector machines.
Yulin DongZhonghang XiaZunquan XiaPublished in: Expert Syst. Appl. (2008)
Keyphrases
- support vector
- learning machines
- large margin classifiers
- kernel parameters
- hyperplane
- generalization ability
- cross validation
- support vector machine
- expected cost
- kernel methods
- feature selection
- total cost
- regularization parameter
- logistic regression
- tuning parameters
- high cost
- cost function
- minimum cost
- loss function
- parameter settings
- radial basis function
- input parameters
- multi class
- high dimensional
- bayesian networks