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We compare our work to the method in the study by Agmon et al [23] in Multimedia Appendix 2.
The term “temporal distribution matching” was recently used [25] in an entirely different context: time series forecasting, where given a series of samples and their labels over time, a function from samples to labels is learned. Temporal distribution matching in the context of time series forecasting is a method to handle temporal covariate shifts that harm the performance of the learned prediction model.
JMIR AI 2024;3:e49546
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