Recent advances in methodology of feature selection for statistical pattern recognition

0410696 20240103182232.820060210235959.9 985-445-491-6 Recent advances in methodology of feature selection for statistical pattern recognition 2 K-S. Minsk Belarussian State University 2001 9 s. Computer Data Analysis and Modeling. Proceedings of the Sixth International Conference163-171AivazianS.KharinY.RiederH. statistical pattern recognition feature selection floating-search methods 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*0101197 Somol Petr UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. 09K 09H LN00B107 GA MŠk cav_un_auth*0001461 GA402/01/0981 GA ČR cav_un_auth*0008962 AV0Z1075907 The paper addresses the problem of feature selection in statistical pattern recognition and puts the available methods and new advances into a taxonomical framework. cav_un_auth*0212841 Computer Data Analysis and Modeling Minsk BY 10.09.2001-14.09.2001 JD RO http://hdl.handle.net/11104/0130784 UTIA-B 20010165 2001 2001 Minsk Belarussian State University 985-445-491-6 Computer Data Analysis and Modeling. Proceedings of the Sixth International Conference 163 171 Aivazian S. 340 Kharin Y. 340 Rieder H. 340