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pro vyhledávání: '"Bazarova, Alexandra"'
Change point detection (CPD) methods aim to identify abrupt shifts in the distribution of input data streams. Accurate estimators for this task are crucial across various real-world scenarios. Yet, traditional unsupervised CPD techniques face signifi
Externí odkaz:
http://arxiv.org/abs/2410.13637
Autor:
Bazarova, Alexandra, Kovaleva, Maria, Kuleshov, Ilya, Romanenkova, Evgenia, Stepikin, Alexander, Yugay, Alexandr, Mollaev, Dzhambulat, Kireev, Ivan, Savchenko, Andrey, Zaytsev, Alexey
Effective processing of financial transactions is essential for banking data analysis. However, in this domain, most methods focus on specialized solutions to stand-alone problems instead of constructing universal representations suitable for many pr
Externí odkaz:
http://arxiv.org/abs/2404.02047