20 search results - page 1 / 4 » Sample Selection Bias Correction Theory |
ALT
2008
Springer
14 years 1 months ago
2008
Springer
SDM
2008
SIAM
13 years 5 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...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...
CVPR
2009
IEEE
13 years 11 months ago
2009
IEEE
Maximum likelihood (ML) estimation is widely used in many computer vision problems involving the estimation of geometric parameters, from conic fitting to bundle adjustment for s...
ISPDC
2010
IEEE
13 years 2 months ago
2010
IEEE
—Providing independent uniform samples from a system population poses considerable problems in highly dynamic settings, like P2P systems, where the number of participants and the...