Introduction and Problem Formulation
Introduction and Problem Formulation
This chapter provides an introduction to covariate shift adaptation toward machine learning in a non-stationary environment. It begins by discussing cover machine learning under covariate shift. It then describes the core idea of covariate shift adaptation, using an illustrative example. Next, it formulates the supervised learning problem, which includes regression and classification. It pays particular attention to covariate shift and model misspecification. An overview of the subsequent chapters is also presented.
Keywords: machine learning, covariate shift adaptation, supervised learning problem, model misspecification
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