Support Vector Regression Based on Unconstrained Convex Quadratic Programming.
Weida ZhouLi ZhangLicheng JiaoJin PanPublished in: ICNC (1) (2006)
Keyphrases
- convex quadratic programming
- support vector
- logistic regression
- kernel function
- generalization ability
- support vector machine
- cross validation
- kernel methods
- training examples
- feature selection
- classification accuracy
- variational inequalities
- loss function
- svm classifier
- multi class classification
- training data
- maximum likelihood
- probabilistic model
- multi class
- radial basis function
- hyperplane
- gaussian process
- finite number