SMO-based pruning methods for sparse least squares support vector machines.
Xiang-Yan ZengXue-wen ChenPublished in: IEEE Trans. Neural Networks (2005)
Keyphrases
- least squares support vector machine
- pruning methods
- ls svm
- pruning method
- decision tree induction
- high dimension
- query processing
- svm classifier
- sparse representation
- tree search
- statistical learning theory
- high dimensional
- least squares
- feature selection
- cross validation
- support vector
- reinforcement learning
- training data
- decision trees