Description: 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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File list (Check if you may need any files):
CSNN\echocardiogram.mat
....\HardEnsemble.m
....\OverSampling.m
....\sample_HardEnsemble_SoftEnsemble.m
....\sample_OverSampling.m
....\sample_SmoteOverSampling.m
....\sample_ThresholdMovNN.m
....\sample_UnderSampling.m
....\SMOTE.m
....\SmoteOverSampling.m
....\SoftEnsemble.m
....\ThresholdMovNN.m
....\UnderSampling.m
....\.tilities\CostMatrix.m
....\.........\dist_nominal.m
....\.........\LabelFormatConvertion.m
....\.........\Locate.m
....\.........\NNoutputFormat.m
....\.........\normalize.m
....\.........\VDM.m
....\Utilities
CSNN
ReadMe.files\editdata.mso
............\filelist.xml
............\image001.gif
............\image002.gif
............\image004.jpg
............\image005.jpg
............\image006.gif
............\Thumbs.db
ReadMe.files
ReadMe.htm
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