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researcher

Roman Zitlau

1 paper here

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • astro-ph.IM1

identity via Semantic Scholar / OpenAlex

most citedFeature importance for machine learning redshifts applied to SDSS galaxies

63 citations · 63 across the 1 of their papers we have counts for

collaborators

1 paper

astro-ph.IM2014★ 63 cited

Feature importance for machine learning redshifts applied to SDSS galaxies

Ben Hoyle, Markus Michael Rau, Roman Zitlau +2

We present an analysis of importance feature selection applied to photometric redshift estimation using the machine learning architecture Decision Trees with the ensemble learning…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.