文件名称:CSNN
介绍说明－－下载内容来自于网络，使用问题请自行百度
这个包包含6个代价敏感神经网络训练算法。-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.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
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
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
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