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Autor:
Gieseke, Fabian, Polsterer, Kai Lars, Thom, Andreas, Zinn, Peter-Christian, Bomanns, Dominik, Dettmar, Ralf-Jürgen, Kramer, Oliver, Vahrenhold, Jan
Publikováno v:
2010 Ninth International Conference on Machine Learning and Applications, 2010, pp.352-357
We present a classification-based approach to identify quasi-stellar radio sources (quasars) in the Sloan Digital Sky Survey and evaluate its performance on a manually labeled training set. While reasonable results can already be obtained via approac
Externí odkaz:
http://arxiv.org/abs/1108.4696
