Learning Rates for Multi-task Regularization Networks.
Jie GuiHaizhang ZhangPublished in: CoRR (2021)
Keyphrases
- multi task
- learning rate
- covering numbers
- multi task learning
- gaussian kernels
- learning tasks
- uniform convergence
- vc dimension
- learning algorithm
- sample complexity
- learning problems
- feature selection
- convergence rate
- multi class
- gaussian processes
- sparse learning
- transfer learning
- multiple kernel learning
- convergence speed
- error function
- machine learning algorithms
- reproducing kernel hilbert space
- active learning
- genetic algorithm
- similarity measure
- kernel machines
- training set
- image classification
- kernel methods