Discrimination Between Quasars and Stars by Support Vector Machines

Details Discrimination Between Quasars and Stars by Support Vector Machines Discrimination Between Quasars and Stars by Support Vector Machines

May 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010iaus..267..146z&link_type=abstract

Co-Evolution of Central Black Holes and Galaxies, Proceedings of the International Astronomical Union, IAU Symposium, Volume 267

Computer Science

Databases

Astronomical Databases: Miscellaneous, Catalogs, Methods: Data Analysis, Methods: Statistical

Scientific paper

We investigated the use of support vector machines (SVMs) to distinguish
quasars from stars using survey databases from different wavebands. We
first employed a random forest approach for selection and weighting of
features. We find that SVMs are an effective method to preselect quasar
candidates from multiwavelength data.

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