A Criterion for Learning the Data-Dependent Kernel for Classification.
Jun-Bao LiShu-Chuan ChuJeng-Shyang PanPublished in: ADMA (2007)
Keyphrases
- data dependent
- support vector
- supervised learning
- feature space
- kernel learning
- feature selection
- active learning
- learning algorithm
- kernel machines
- learning problems
- feature extraction
- machine learning
- generalization bounds
- reproducing kernel hilbert space
- energy functional
- statistical learning
- learning tasks
- model selection