Age determination of the nuclear stellar population of Active Galactic Nuclei using Locally Weighted Regression

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dc.creatorEstrada-Piedra, Trilce
dc.creatorTorres-Papaqui, Juan Pablo
dc.creatorTerlevich, Roberto
dc.creatorFuentes, Olac
dc.creatorTerlevich, Elena
dc.date2003-11-28
dc.date.accessioned2026-07-07T02:11:23Z
dc.date.available2026-07-07T02:11:23Z
dc.descriptionWe present a new technique to segregate old and young stellar populations in galactic spectra using machine learning methods. We used an ensemble of classifiers, each classifier in the ensemble specializes in young or old populations and was trained with locally weighted regression and tested using ten-fold cross-validation. Since the relevant information concentrates in certain regions of the spectra we used the method of sequential floating backward selection offline for feature selection. The application to Seyfert galaxies proved that this technique is very insensitive to the dilution by the Active Galactic Nucleus (AGN) continuum. Comparing with exhaustive search we concluded that both methods are similar in terms of accuracy but the machine learning method is faster by about two orders of magnitude.
dc.description4 pages, 1 figure, To appear in Proceedings of the ADASS-XIII Conference in Strasbourg, October 2003
dc.identifierhttps://arxiv.org/abs/astro-ph/0311627
dc.identifierhttp://arxiv.org/abs/astro-ph/0311627
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/7061
dc.subjectAstrophysics
dc.titleAge determination of the nuclear stellar population of Active Galactic Nuclei using Locally Weighted Regression
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