Connecting rule-abstraction and model-based choice across disparate learning tasks.
Hilary DonMicah B. GoldwaterA. Ross OttoEvan J. LiveseyPublished in: CogSci (2015)
Keyphrases
- learning tasks
- machine learning
- meta learning
- learning problems
- supervised learning
- learning experience
- multi task
- learning algorithm
- transfer learning
- machine learning algorithms
- hypothesis space
- multitask learning
- kernel methods
- function approximation
- multi label
- multi task learning
- metric learning
- association rules
- prior knowledge
- image processing