Domain adaptation for statistical classifiers

The most basic assumption in statistical learning theory is that training data and test data are drawn from the same underlying distribution, but in many applications, the "in-domai...

Abstract

The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applications, the in-domai...