Binary Classification under Sample Selection Bias

This chapter contains sections titled: Introduction, Model for Sample Selection Bias, Necessary and Sufficient Conditions for the Equivalence of the Bayes Classifier, Bounding the Selection Index via Unlabeled Data, Classifiers of Small and Large Capacity, A Nonparametric Framework for General Sample Selection Bias Using Adaptive Regularization, Experiments, Conclusion