The first work of its kind using machine learning technique to select QSOs using their variability and application of it to massive astronomical database, the MACHO database.
Dae-Won Kim, Pavlos Protopapas, Charles Alcock, Yong-Ik Byun, and Roni Khardon
astroph :
http://arxiv.org/abs/1101.3316
accepted for the publication at ApJ.
tags : QSO, quasar, quasi-stellar object, AGN, light curve, time series, time varying, variability, support vector machine, SVM, machine learning, data mining, massive database, classification, variable stars, X-ray, Spitzer SAGE, Large Magellanic Cloud, LMC