OLR-WAA: Adaptive and Drift-Resilient Online Regression with Dynamic Weighted Averaging

This article introduces a new online regression algorithm, OLR-WAA, designed to be adaptive and resilient to data drift. The use of dynamic weighted averaging suggests an approach that adjusts to changing data patterns. The source being ArXiv indicates this is a research paper, likely detailing the algorithm's methodology, performance, and comparison to existing methods.