2 papers
cs.DB2026
RAMSeS: Robust and Adaptive Model Selection for Time-Series Anomaly Detection Algorithms
Mohamed Abdelmaksoud, Sheng Ding, Andrey Morozov +1
Time-series data vary widely across domains, making a universal anomaly detector impractical. Methods that perform well on one dataset often fail to transfer because what counts as…
cs.LG2026
A new Uncertainty Principle in Machine Learning
V. Dolotin, A. Morozov
Many scientific problems in the context of machine learning can be reduced to the search of polynomial answers in appropriate variables. The Hevisidization of arbitrary polynomial…