most citedRobust Machine Learning Applied to Astronomical Datasets III: Probabilistic Photometric Redshifts for Galaxies and Quasars in the SDSS and GALEX

92 citations · 92 across the 1 of their papers we have counts for

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1 paper

astro-ph2008★ 92 cited

Robust Machine Learning Applied to Astronomical Datasets III: Probabilistic Photometric Redshifts for Galaxies and Quasars in the SDSS and GALEX

Nicholas M. Ball, Robert J. Brunner, Adam D. Myers +3

We apply machine learning in the form of a nearest neighbor instance-based algorithm (NN) to generate full photometric redshift probability density functions (PDFs) for objects in…