197 search results - page 3 / 40 » Multi-Resolution Learning for Knowledge Transfer |
ICMLA
2009
13 years 3 months ago
2009
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...
ICML
2006
IEEE
14 years 6 months ago
2006
IEEE
We introduce the use of learned shaping rewards in reinforcement learning tasks, where an agent uses prior experience on a sequence of tasks to learn a portable predictor that est...
EDUTAINMENT
2010
Springer
13 years 6 months ago
2010
Springer
Design becomes more and more the art of bringing together expertise and experts from different domains in creating future products. Synthetical knowledge and hands-on skills in des...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
The goal of transfer learning is to improve the learning of a new target concept given knowledge of related source concept(s). We introduce the first boosting-based algorithms for...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
Transfer learning can be described as the tion of abstract knowledge from one learning domain or task and the reuse of that knowledge in a related domain or task. In categorizatio...