Machine learning in non-stationary environments: introduction to covariate shift adaptation

This volume focuses on a specific non-stationary environment known as covariate shift, in which the distributions of inputs (queries) changes but the conditional distributions of outputs (answers) is unchanged, and presents machine learning theory, algorithms, and applications to overcome this variety of non-stationary.