Online Boosting Adaptive Learning under Concept Drift for Multistream Classification
En Yu,
Jie Lu,
Bin Zhang
et al.
Abstract:Multistream classification poses significant challenges due to the necessity for rapid adaptation in dynamic streaming processes with concept drift. Despite the growing research outcomes in this area, there has been a notable oversight regarding the temporal dynamic relationships between these streams, leading to the issue of negative transfer arising from irrelevant data. In this paper, we propose a novel Online Boosting Adaptive Learning (OBAL) method that effectively addresses this limitation by adaptively … Show more
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