Learning rates for multi-task regularization networks.
Jie GuiHaizhang ZhangPublished in: Neurocomputing (2021)
Keyphrases
- multi task
- learning rate
- covering numbers
- multi task learning
- gaussian kernels
- learning tasks
- uniform convergence
- learning algorithm
- vc dimension
- multi class
- convergence rate
- sparse learning
- feature selection
- gaussian processes
- metric learning
- error function
- kernel machines
- transfer learning
- multiple kernel learning
- sample complexity
- convergence speed
- learning problems
- reproducing kernel hilbert space
- prior knowledge
- information gain