2820 search results - page 78 / 564 » Learning from Scarce Experience |
ECML
2003
Springer
15 years 5 months ago
2003
Springer
In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. Through analyzin...
ICALT
2006
IEEE
15 years 6 months ago
2006
IEEE
Vicarious Learning is learning from watching others learn. We believe that this is a powerful model for computer-based learning. Learning episodes can be captured and replayed to ...
CONNECTION
2006
14 years 12 months ago
2006
To be autonomous, intelligent robots must learn the foundations of commonsense knowledge from their own sensorimotor experience in the world. We describe four recent research resu...
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JMLR
2012
13 years 2 months ago
2012
Reducing the number of labeled examples required to learn accurate prediction models is an important problem in structured output prediction. In this paper we propose a new transd...
ICML
2007
IEEE
16 years 21 days ago
2007
IEEE
Most current multi-task learning frameworks ignore the robustness issue, which means that the presence of "outlier" tasks may greatly reduce overall system performance. ...