Comparison of classifier-specific feature selection algorithms

0410454 20240103182215.220060210235959.9 3-540-67946-4 Comparison of classifier-specific feature selection algorithms Berlin Springer 2000 10 s. Lecture Notes in Computer Science. 1876 Advances in Pattern Recognition677-686FerriJ.InestaM. J.AminA.PudilP. cav_un_auth*0021088 Kudo M. JP cav_un_auth*0101197 Somol Petr UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101182 Pudil Pavel UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0212707 Shimbo M. JP cav_un_auth*0212708 Sklansky J. US 09K ME 187 MŠMT CZ cav_un_auth*0028306 VS96063 MŠMT CZ cav_un_auth*0025066 AV0Z1075907 Speed and quality of the classical floating search, adaptive floating search and genetic algorithms are compared for large-scale feature selection problems. cav_un_auth*0212672 Joint IAPR International Workshops SSPR 2000 and SPR 2000 Alicante ES 30.08.2000-01.09.2000 JC RO http://hdl.handle.net/11104/0130543 UTIA-B 20000170 2000 2000 Berlin Springer 3-540-67946-4 Advances in Pattern Recognition 677 686 Ferri J. 340 Inesta M. J. 340 Amin A. 340 Pudil P. 340