most citedOn Machine-Learned Classification of Variable Stars with Sparse and Noisy Time-Series Data

315 citations · 315 across the 1 of their papers we have counts for

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1 paper

astro-ph.IM2011★ 315 cited

On Machine-Learned Classification of Variable Stars with Sparse and Noisy Time-Series Data

Joseph W. Richards, Dan L. Starr, Nathaniel R. Butler +6

With the coming data deluge from synoptic surveys, there is a growing need for frameworks that can quickly and automatically produce calibrated classification probabilities for new…