Kernel learning and optimization with Hilbert-Schmidt independence criterion.
Tinghua WangWei LiPublished in: Int. J. Mach. Learn. Cybern. (2018)
Keyphrases
- kernel learning
- hilbert schmidt independence criterion
- kernel function
- multiple kernel learning
- semi supervised
- kernel matrix
- support vector regression
- pairwise constraints
- learning tasks
- feature space
- dimensionality reduction
- kernel methods
- multi task learning
- training data
- least squares
- small number
- high dimensional
- reinforcement learning