发明申请
US20100036782A1 METHODS FOR FEATURE SELECTION USING CLASSIFIER ENSEMBLE BASED GENETIC ALGORITHMS
有权
使用基于分类器ENSEMBLE的遗传算法进行特征选择的方法
- 专利标题: METHODS FOR FEATURE SELECTION USING CLASSIFIER ENSEMBLE BASED GENETIC ALGORITHMS
- 专利标题(中): 使用基于分类器ENSEMBLE的遗传算法进行特征选择的方法
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申请号: US12441956申请日: 2007-09-17
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公开(公告)号: US20100036782A1公开(公告)日: 2010-02-11
- 发明人: Luyin Zhao , Lilla Boroczky , Lalitha A. Agnihotri , Michael C.C. Lee
- 申请人: Luyin Zhao , Lilla Boroczky , Lalitha A. Agnihotri , Michael C.C. Lee
- 申请人地址: NL Eindhoven
- 专利权人: KONINKLIJKE PHILIPS ELECTRONICS N. V.
- 当前专利权人: KONINKLIJKE PHILIPS ELECTRONICS N. V.
- 当前专利权人地址: NL Eindhoven
- 国际申请: PCT/IB07/53750 WO 20070917
- 主分类号: G06N3/12
- IPC分类号: G06N3/12 ; G06F19/00 ; G06K9/00
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.
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