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cs.LG2022
Usage of specific attention improves change point detection
Anna Dmitrienko, Evgenia Romanenkova, Alexey Zaytsev
The change point is a moment of an abrupt alteration in the data distribution. Current methods for change point detection are based on recurrent neural methods suitable for sequent…
cs.LG2022
Deep learning model solves change point detection for multiple change types
Alexander Stepikin, Evgenia Romanenkova, Alexey Zaytsev
A change points detection aims to catch an abrupt disorder in data distribution. Common approaches assume that there are only two fixed distributions for data: one before and anoth…