—This paper considers feature selection for data classification in the presence of a huge number of irrelevant features. We propose a new feature selection algorithm that addres...
The choice of the selection method used in an evolutionary algorithm may have considerable impacts on the behavior of the entire algorithm. Therefore, earlier work was devoted to t...
In clustering, global feature selection algorithms attempt to select a common feature subset that is relevant to all clusters. Consequently, they are not able to identify individu...
d abstract)1 Niek Bergboer Eric Postma Jaap van den Herik Institute for Knowledge and Agent Technology, Universiteit Maastricht, P.O. Box 616, 6200 MD Maastricht It is well known t...
Niek Bergboer, Eric O. Postma, H. Jaap van den Her...
– In this paper, two novel algorithms are presented that simultaneously perform bit allocation and antenna subset selection for multicarrier spatial diversity transceivers. The g...