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Class Probability Matching Using Kernel Methods for Label Shift Adaptation
In covariate shift adaptation where the differences in data distribution arise from variations in feature probabilities, existing approaches naturally address this problem based on \textit{feature probability matching} (\textit{FPM}).
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