Anomaly detection for machine learning redshifts applied to SDSS galaxies

27 Mar 2015Ben HoyleMarkus Michael RauKerstin PaechChristopher BonnettStella SeitzJochen Weller

We present an analysis of anomaly detection for machine learning redshift estimation. Anomaly detection allows the removal of poor training examples, which can adversely influence redshift estimates... (read more)

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