Sciweavers

8970 search results - page 71 / 1794
» Learning to Learn Causal Models
Sort
View
IEICET
2007
68views more  IEICET 2007»
15 years 1 months ago
Generalization Error Estimation for Non-linear Learning Methods
Estimating the generalization error is one of the key ingredients of supervised learning since a good generalization error estimator can be used for model selection. An unbiased g...
Masashi Sugiyama
ICALT
2006
IEEE
15 years 7 months ago
Vicarious Learning and Multimodal Dialogue
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 ...
John Lee
COLT
1999
Springer
15 years 5 months ago
Drifting Games
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
Robert E. Schapire
AMDO
2004
Springer
15 years 5 months ago
On-the-Fly Training
Abstract. A new algorithm for the incremental learning and non-intrusive tracking of the appearance of a previously non-seen face is presented. The computation is done in a causal ...
Javier Melenchón, Lourdes Meler, Ignasi Iri...
ICALT
2008
IEEE
15 years 8 months ago
Designing Collaborative Learning Applications
Future collaborative learning technologies are characterized by the CSCL community as highly malleable and flexible. A promising approach for meeting these expectations is to use ...
Jacques Lonchamp