A review of known information-theoretic and statistical limits on machine learning, arguing that modeling the data matters as much as improving algorithms.
CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting , journal=
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On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective
A review of known information-theoretic and statistical limits on machine learning, arguing that modeling the data matters as much as improving algorithms.