Self-Adaptive Deep Multiple Kernel Learning Based on Rademacher Complexity.
Shengbing RenWangbo ShenChaudry Naeem SiddiqueYou LiPublished in: Symmetry (2019)
Keyphrases
- multiple kernel learning
- rademacher complexity
- kernel methods
- data dependent
- reproducing kernel hilbert space
- kernel learning
- linear combination
- learning problems
- kernel function
- generalization error
- binary classification
- multi task
- machine learning
- semi supervised learning
- convex relaxation
- support vector
- feature selection
- support vector machine
- reinforcement learning
- kernel machines
- decision trees
- learning experience
- model selection
- multi class
- learning models
- special case
- multiple features
- training data
- data sets