Search Results for author: Kerstin Paech

Found 2 papers, 0 papers with code

Stacking for machine learning redshifts applied to SDSS galaxies

no code implementations19 Feb 2016 Roman Zitlau, Ben Hoyle, Kerstin Paech, Jochen Weller, Markus Michael Rau, Stella Seitz

We observe a significant improvement of between 1. 9% and 21% on all computed metrics when stacking is applied to weak learners (such as SOMs and decision trees).

Machine Learning

Anomaly detection for machine learning redshifts applied to SDSS galaxies

no code implementations27 Mar 2015 Ben Hoyle, Markus Michael Rau, Kerstin Paech, Christopher Bonnett, Stella Seitz, Jochen Weller

We present an analysis of anomaly detection for machine learning redshift estimation.

Cosmology and Nongalactic Astrophysics

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