Machine learning methods have become crucial to many aspects of astrophysics and cosmology. We focus on the evaluation of photometric redshifts as a template case of classification/regression problem in astronomical data mining. We discuss the general aspects of the problem and some recent work which tries to solve the issues posed by optimal feature selection, missing data and by the evaluation of probability distribution functions.

The astronomical data deluge: The template case of photometric redshifts

Longo, G.;Brescia, M.;Cavuoti, S.
2017

Abstract

Machine learning methods have become crucial to many aspects of astrophysics and cosmology. We focus on the evaluation of photometric redshifts as a template case of classification/regression problem in astronomical data mining. We discuss the general aspects of the problem and some recent work which tries to solve the issues posed by optimal feature selection, missing data and by the evaluation of probability distribution functions.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11588/697488
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