Well algorithm MATLAB code, from South University computer and Artificial Intelligence Laboratory code library

WELL\code\@rbf\CHAR.M
WELL\code\@rbf\DISPLAY.M
WELL\code\@rbf\EVALUATE.C
WELL\code\@rbf\EVALUATE.DLL
WELL\code\@rbf\EVALUATE.M
WELL\code\@rbf\evaluate.mexlx
WELL\code\@rbf\evaluate.mexsol
WELL\code\@rbf\EVALUATE.O
WELL\code\@rbf\mexversion.o
WELL\code\@rbf\R.M
WELL\code\@rbf\rbf.m
WELL\code\call_WELL.asv
WELL\code\call_WELL.m
WELL\code\evaluation\auroc.m
WELL\code\evaluation\Average_precision.m
WELL\code\evaluation\Ave_AUROC.m
WELL\code\evaluation\coverage.m
WELL\code\evaluation\Hamming_loss.m
WELL\code\evaluation\One_error.m
WELL\code\evaluation\PRF1.m
WELL\code\evaluation\Ranking_loss.m
WELL\code\evaluation\roc.m
WELL\code\evaluation\slparseprops.m
WELL\code\get_prediction.asv
WELL\code\get_prediction.m
WELL\code\learn_kernel.asv
WELL\code\learn_kernel.m
WELL\code\max_min_norm.asv
WELL\code\max_min_norm.m
WELL\code\QP.m
WELL\code\weak_label.m
WELL\example\evaluation\auroc.m
WELL\example\evaluation\Average_precision.m
WELL\example\evaluation\Ave_AUROC.m
WELL\example\evaluation\coverage.m
WELL\example\evaluation\Hamming_loss.m
WELL\example\evaluation\One_error.m
WELL\example\evaluation\PRF1.m
WELL\example\evaluation\Ranking_loss.m
WELL\example\evaluation\roc.m
WELL\example\evaluation\slparseprops.m
WELL\example\main.m
WELL\example\yeast data\yeast_data.mat
WELL\example\yeast data\Yeast_groundtruth.mat
WELL\example\yeast data\yeast_rate0.1.mat
WELL\example\yeast data\yeast_rate0.2.mat
WELL\example\yeast data\yeast_rate0.3.mat
WELL\example\yeast data\yeast_rate0.4.mat
WELL\example\yeast data\yeast_rate0.5.mat
WELL\example\yeast data\yeast_rate0.6.mat
WELL\example\yeast data\yeast_rate0.7.mat
WELL\example\yeast data\yeast_rate0.8.mat
WELL\example\yeast data\yeast_rate0.9.mat
WELL\readme.txt
WELL\code\@rbf
WELL\code\evaluation
WELL\example\evaluation
WELL\example\yeast data
WELL\code
WELL\example
WELL

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