A sparsity driven kernel machine based on minimizing a generalization error bound.
Dori PelegRon MeirPublished in: Pattern Recognit. (2009)
Keyphrases
- error bounds
- kernel machines
- learning machines
- theoretical analysis
- support vector
- worst case
- semi supervised
- kernel function
- high dimensional
- learning problems
- sparse representation
- semi supervised learning
- model selection
- similarity measure
- special case
- cross validation
- pattern recognition
- multiple kernel learning
- reproducing kernel hilbert space
- kernel learning
- upper bound