"soft computing; constrained gain; maximum sensitivity; classification; d ifferential evolution"@en . . "Vy\u0161ata, Old\u0159ich" . "RIV/60461373:22340/08:00020876" . "Multiclassification can be designed to be soft with constrained gain. The classifier is learned to have maximum sensitivity for the worst class."@en . "376420" . "Brno" . "22340" . "2"^^ . "Brno" . . . "RIV/60461373:22340/08:00020876!RIV09-MSM-22340___" . . . "Learning of Soft Classifier via Differential Evolution" . . "Learning of Soft Classifier via Differential Evolution"@en . "1"^^ . . . "Learning of Soft Classifier via Differential Evolution" . . "Learning of Soft Classifier via Differential Evolution"@cs . . "Kukal, Jarom\u00EDr" . "Z(MSM6046137306)" . "978-80-214-3675-6" . . . . "Learning of Soft Classifier via Differential Evolution"@cs . "5"^^ . . "2008-06-18+02:00"^^ . "Proc. 14th Int. Conf. on Soft Computing MENDEL" . . "Vysok\u00E9 u\u010Den\u00ED technick\u00E9 v Brn\u011B" . . "Learning of Soft Classifier via Differential Evolution"@en . "[B03867B607DE]" . . . "Multiclassification can be designed to be soft with constrained gain. The classifier is learned to have maximum sensitivity for the worst class." . "Multiclassification can be designed to be soft with constrained gain. The classifier is learned to have maximum sensitivity for the worst class."@cs .