文件名称:CSNN
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This package contains 6 algorithms for training cost-sensitive neural networks. They are over-sampling, under-sampling, threshold-moving, SMOTE and two ensemble methods, i.e. hard-ensemble and soft-ensemble.
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下载文件列表
压缩包 : CSNN.rar 列表 CSNN\echocardiogram.mat CSNN\HardEnsemble.m CSNN\OverSampling.m CSNN\sample_HardEnsemble_SoftEnsemble.m CSNN\sample_OverSampling.m CSNN\sample_SmoteOverSampling.m CSNN\sample_ThresholdMovNN.m CSNN\sample_UnderSampling.m CSNN\SMOTE.m CSNN\SmoteOverSampling.m CSNN\SoftEnsemble.m CSNN\ThresholdMovNN.m CSNN\UnderSampling.m CSNN\Utilities\CostMatrix.m CSNN\Utilities\dist_nominal.m CSNN\Utilities\LabelFormatConvertion.m CSNN\Utilities\Locate.m CSNN\Utilities\NNoutputFormat.m CSNN\Utilities\normalize.m CSNN\Utilities\VDM.m CSNN\Utilities CSNN ReadMe.files\editdata.mso ReadMe.files\filelist.xml ReadMe.files\image001.gif ReadMe.files\image002.gif ReadMe.files\image004.jpg ReadMe.files\image005.jpg ReadMe.files\image006.gif ReadMe.files\Thumbs.db ReadMe.files ReadMe.htm