0410987 20240103182253.820060210235959.9 1-4020-0953-4 Dordrecht Kluwer 2003 51 s. 1-51ChenD.ChengX. pattern recognition feature selection 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*0101171 Novovičová Jana UTIA-B 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 12B GA402/01/0981 GA ČR cav_un_auth*0008962 KSK1019101 GA AV ČR cav_un_auth*0000219 CEZ:AV0Z1075907 The chapter is devoted to the problem of feature selection in statistical pattern recognition. A number of feature subset search strategies is reviewed, analyzed and compared. New algorithms are described (Fast Branch and Bound, Branch and Bound Algorithm with Partial Prediction, Floating Search, Adaptive Floating Search). Two feature selection methods based on approximating the unknown class conditional densities by finite mixtures of the factorized densities are presented. BC RO http://hdl.handle.net/11104/0131074 UTIA-B 20020201 2003 2003 Dordrecht Kluwer 1-4020-0953-4 Pattern Recognition and String Matching 1 51 Chen D. 340 Cheng X. 340