most citedEffect of training characteristics on object classification: an application using Boosted Decision Trees

26 citations · 26 across the 1 of their papers we have counts for

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astro-ph.IM2015★ 26 cited

Effect of training characteristics on object classification: an application using Boosted Decision Trees

Ignacio Sevilla-Noarbe, Penélope Etayo-Sotos

We present an application of a particular machine-learning method (Boosted Decision Trees, BDTs using AdaBoost) to separate stars and galaxies in photometric images using their cat…