The authors use GANs trained on real data to synthesize concept drifts, including the under-studied incremental type, in regression data streams, and evaluate four regression and two prediction-interval methods on the resulting streams.
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Evaluation for Regression Analyses on Evolving Data Streams
The authors use GANs trained on real data to synthesize concept drifts, including the under-studied incremental type, in regression data streams, and evaluate four regression and two prediction-interval methods on the resulting streams.