Generalization Bounds on Multi-Kernel Learning with Mixed Datasets.
Lan V. TruongPublished in: CoRR (2022)
Keyphrases
- kernel learning
- generalization bounds
- kernel machines
- learning theory
- data dependent
- kernel function
- generalization ability
- multiple kernel learning
- learning problems
- model selection
- kernel methods
- kernel matrix
- support vector regression
- statistical learning theory
- semi supervised
- pairwise constraints
- ranking algorithm
- linear classifiers
- vc dimension
- upper bound
- multi task learning
- regression model
- benchmark datasets