Sugiyama, Masashi; Müller, Klaus-Robert - In: Statistics & Decisions 23 (2005) 4, pp. 249-279
Summary A common assumption in supervised learning is that the training and test input points follow the same probability distribution. However, this assumption is not fulfilled, e.g., in interpolation, extrapolation, active learning, or classification with imbalanced data. The violation of this...