文件名称:s4vm
介绍说明－－下载内容均来自于网络，请自行研究使用
s4vm算法，matlab 是实现半监督学习的较好的方法，能够对多种数据集进行测试，代码中包含例子，下载即可以使用-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
相关搜索： 半监督
(系统自动生成,下载前可以参看下载内容)
下载文件列表
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
....\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