METHODS FOR FEATURE SELECTION USING CLASSIFIER ENSEMBLE BASED GENETIC ALGORITHMS
摘要
Methods for performing genetic algorithm-based feature selection are provided herein. In certain embodiments, the methods include steps of applying multiple data splitting patterns to a learning data set to build multiple classifiers to obtain at least one classification result; integrating the at least one classification result from the multiple classifiers to obtain an integrated accuracy result; and outputting the integrated accuracy result to a genetic algorithm as a fitness value for a candidate feature subset, in which genetic algorithm-based feature selection is performed.
申请公布号
WO2008035276(A3)
申请公布日期
2008.11.20
申请号
WO2007IB53750
申请日期
2007.09.17
申请人
KONINKLIJKE PHILIPS ELECTRONICS N.V.;ZHAO, LUYIN;BOROCZKY, LILLA;AGNIHOTRI, LALITHA A.;LEE, MICHAEL C.C.
发明人
ZHAO, LUYIN;BOROCZKY, LILLA;AGNIHOTRI, LALITHA A.;LEE, MICHAEL C.C.