Multi-Task Meta-Learning Modification with Stochastic Approximation.
Andrei BoiarovKonstantin KhabarlakIgor YastrebovPublished in: CoRR (2021)
Keyphrases
- meta learning
- stochastic approximation
- multi task
- learning tasks
- multi task learning
- learning problems
- monte carlo
- machine learning
- transfer learning
- feature selection
- machine learning algorithms
- learning algorithm
- learning experience
- supervised learning
- multi label
- reinforcement learning
- inductive learning
- model selection
- least squares
- kernel methods
- real world
- policy iteration
- e learning
- data mining
- decision trees
- image segmentation
- information extraction
- text classification