Description: s4vm algorithm, matlab is better to achieve semi-supervised learning methods can be tested on a variety of data sets, the code contains examples that can be used to download
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File list (Check if you may need any files):
s4vm\digit1.mat
....\digit1_l10.mat
....\digit1_l100.mat
....\example.m
....\libsvm-mat-2.89-3-weight\aa.mat
....\........................\COPYRIGHT
....\........................\example.m
....\........................\heart_scale.mat
....\........................\libsvmread.c
....\........................\libsvmread.mexw32
....\........................\libsvmread.mexw64
....\........................\libsvmwrite.c
....\........................\libsvmwrite.mexw32
....\........................\libsvmwrite.mexw64
....\........................\main.m
....\........................\make.asv
....\........................\make.m
....\........................\Makefile
....\........................\README
....\........................\svm.cpp
....\........................\svm.cpp.bak
....\........................\svm.h
....\........................\svm.h.bak
....\........................\svm.obj
....\........................\svmpredict.c
....\........................\svmpredict.mexw32
....\........................\svmpredict.mexw64
....\........................\svmtrain.c
....\........................\svmtrain.c.bak
....\........................\svmtrain.mexw32
....\........................\svmtrain.mexw64
....\........................\svm_model_matlab.c
....\........................\svm_model_matlab.c.bak
....\........................\svm_model_matlab.h
....\........................\svm_model_matlab.obj
....\readme.txt
....\S4VM.m
....\svmtrain.mexw64
....\Text.mat
....\Text_l10.mat
....\Text_l100.mat
....\Towards Making Unlabeled Data Never Hurt.PDF
....\USPS.mat
....\USPS_l10.mat
....\USPS_l100.mat
....\wdbc10.mat
....\libsvm-mat-2.89-3-weight
s4vm
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