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Eduardo V. L. Barboza

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#machine learning Preprint Sep 2026

Concept Drift from a Causal Perspective

Concept drift is a common phenomenon in real-world data streams, in which changes in the data-generating distribution can degrade predictive model performance. Most existing definitions characterize drift as changes in the joint distribution $P(\mathbf{x}, y)$, without distinguishing which component of the data-generat...

Eduardo V. L. Barboza, J. P. Barddal, R. Sabourin et al. · 0 citations

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