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» Learning to Learn Causal Models
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119
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IEICET
2007
68views more  IEICET 2007»
15 years 3 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 10 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 8 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 7 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...
123
Voted
ICALT
2008
IEEE
15 years 10 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