papersSEP 10 04:00 UTC
SCCM: Stream Cruise Control Method for Automated Drift Detection and Adaptation
A new arXiv paper introduces SCCM, a method for streaming machine learning that automatically detects concept drift, the shift in data distributions that degrades model performance over time. The approach seeks to keep predictive models accurate on evolving data while removing the dependency on fixed, manually tuned hyperparameters. The work was cross-listed between the cs.AI and cs.LG categories.