1380 search results - page 14 / 276 » On Universal Transfer Learning |
ICML
2001
IEEE
14 years 9 months ago
2001
IEEE
The Bayesian framework is ideally suited for induction problems. The probability of observing xt at
TKDE
2010
13 years 6 months ago
2010
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
Recent work in transfer learning has succeeded in making reinforcement learning algorithms more efficient by incorporating knowledge from previous tasks. However, such methods typ...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
Many applications of supervised learning require good generalization from limited labeled data. In the Bayesian setting, we can try to achieve this goal by using an informative pr...
ECML
2006
Springer
14 years 4 days ago
2006
Springer
We describe a reinforcement learning system that transfers skills from a previously learned source task to a related target task. The system uses inductive logic programming to ana...