27 search results - page 2 / 6 » Model Selection Under Covariate Shift |
SDM
2008
SIAM
13 years 6 months ago
2008
SIAM
Sample selection bias is a common problem in many real world applications, where training data are obtained under realistic constraints that make them follow a different distribut...
SDM
2008
SIAM
13 years 6 months ago
2008
SIAM
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
ICCVW
1999
Springer
13 years 9 months ago
1999
Springer
The parameters estimated by Structure from Motion SFM contain inherent indeterminacies which we call gauge freedoms. Under a perspective camera, shape and motion parameters are o...
BMCBI
2006
13 years 5 months ago
2006
Background: The imprint of natural selection on gene sequences is often difficult to detect. A plethora of methods have been devised to detect genetic changes due to selective pro...
NN
2008
Springer
13 years 5 months ago
2008
Springer
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...