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 对传统的S3VM 进行了改进。传统的S3VM 基于低密度假设,它试图找到一个低密度的分界线,
也就是更倾向于决策边界穿过特征空间的低密度区域。S4VM 和S3VM 的不同点在于,S3VM 试图把注意力
集中在一个最优的低密度分界线上,而S4VM 则同时关注多个可能的低密度分界线。之所以这样做,是因为
给定一些有标记的点和大量未标记的点,可能存在着不止一个“间隔”较大的低密度分界线(如图2 ),基于
有限的标记样本,很难决定哪个是最好的。虽然这些低密度分界线都与有限的标记样本吻合,但它们之间差
异很大,因此如果选择错了,会有一个很大的损失,导致性能下降。所以S4VM 试图考虑所有可能的低密度
分界线。 -Over the past decade,
many improved versions are proposed to solve every different specific problem of semi-supervised support vector
machines, for example: to the inefficiency issue, meanS3VM is introduced to performance degenerate problem,
S4VM is proposed
也就是更倾向于决策边界穿过特征空间的低密度区域。S4VM 和S3VM 的不同点在于,S3VM 试图把注意力
集中在一个最优的低密度分界线上,而S4VM 则同时关注多个可能的低密度分界线。之所以这样做,是因为
给定一些有标记的点和大量未标记的点,可能存在着不止一个“间隔”较大的低密度分界线(如图2 ),基于
有限的标记样本,很难决定哪个是最好的。虽然这些低密度分界线都与有限的标记样本吻合,但它们之间差
异很大,因此如果选择错了,会有一个很大的损失,导致性能下降。所以S4VM 试图考虑所有可能的低密度
分界线。 -Over the past decade,
many improved versions are proposed to solve every different specific problem of semi-supervised support vector
machines, for example: to the inefficiency issue, meanS3VM is introduced to performance degenerate problem,
S4VM is proposed
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下载文件列表
S4VM\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.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
....\wdbc10.mat
....\libsvm-mat-2.89-3-weight
S4VM
....\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.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
....\wdbc10.mat
....\libsvm-mat-2.89-3-weight
S4VM