Theory

Sequential Domain Adaptive Intelligent Systems focuses on domain-adaptative classification over an ordered sequence of biased samples. An example of such a sequence is medical data from hospital along a geographic path.

Domain Adaptive Pattern Recognition explores the limits of generalization for a special case of statistical learning where training data and test data are differently biased samples of some underlying data-generating distribution.