Incorporating Measurement Error in Astronomical Object Classification
Sarah Shy et al 2022 AJ 164 6
Machine learning algorithms often ignore measurement uncertainty, but a newly developed method presents a way to include this uncertainty in the classification of high-redshift quasar candidates.