Pairwise vs Global Multi-Class Wrapper Feature Selection, Proc WSEAS International Conf. on Artificial Intelligence, Knowledge Engineering and Data Bases , Corfu, Greece, Vol. 6, pp. 1 - 6, February, 2007.
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