Correcting Sample Selection Bias by Unlabeled Data
We consider the scenario where training and test data are drawn from different distributions, commonly referred to as sample selection bias.Most algorithms for this setting try ...
We consider the scenario where training and test data are drawn from different distributions, commonly referred to as sample selection bias.Most algorithms for this setting try ...
h-index: Number of publications with at least h citations each.