... We 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. ... In this work we propose a Machine Learning (ML) method to determine the age of stellar populations in synthetic galactic spectra. ... Combine results in an ensemble. ...
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Ссылки http://www.adass.org/adass/proceedings/adass03/reprints/P7-9.pdf -- 223.0 Кб -- 27.08.2004 Похожие документы
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. Ross-Nazzal: Today is August 5th, 2011. This interview with Dr. Harriett Jenkins is being conducted in Bethesda, Maryland, for the NASA Headquarters History Office. The interviewer is Jennifer Ross-Nazzal, assisted by Rebecca Wright. Thanks so much for inviting us into your home today. We certainly appreciate the time you?ve given us, and all the research that you?ve pulled. Jenkins: Thank you for coming. Ross-Nazzal: It?s a great pleasure for us. I thought we?d start by asking you how you found out about
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... X-ray data of GX 3+1 (4U 1744-26) obtained in broad energy ranges using BeppoSAX (0.1200 keV) and Rossi X-Ray Timing Explorer (RXTE) (3200 keV) offer a unique The Astrophysical Journal, 747:99 (15pp), 2012 March 10 Seifina & Titarchuk possibility to further investigate, in detail, the evolution of X-ray spectral properties during transition events. ... In Figure 2, we illustrate our spectral model as a basic model for fitting the BeppoSAX and RXTE spectral data for GX 3+1. ... Figure 4. ...