文件名称:CS4VM

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  • Internet/网络编程
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2014-10-21
  • 文件大小:
  • 442kb
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  • 0次
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  • l**
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In this paper, we study cost-sensitive semi-supervised

learning where many of the training examples are unlabeled

and different misclassification errors are associated

with unequal costs. This scenario occurs in many

real-world applications. For example, in some disease

diagnosis, the cost of erroneously diagnosing a patient

as healthy is much higher than that of diagnosing a

healthy person as a patient. Also, the acquisition of labeled

data requires medical diagnosis which is expensive,

while the collection of unlabeled data such as basic

health information is much cheaper
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下载文件列表





cs4vm-aaai10\cal_cost.m

............\cs4vm.m

............\demo.m

............\house.mat

............\libsvm-mat-2.83-1\COPYRIGHT

............\.................\heart_scale.mat

............\.................\make.m

............\.................\Makefile

............\.................\README

............\.................\read_sparse.c

............\.................\read_sparse.mexw32

............\.................\read_sparse.mexw64

............\.................\svm.cpp

............\.................\svm.h

............\.................\svmpredict.c

............\.................\svmpredict.mexw32

............\.................\svmpredict.mexw64

............\.................\svmtrain.c

............\.................\svmtrain.mexw32

............\.................\svmtrain.mexw64

............\.................\svm_model_matlab.c

............\.................\svm_model_matlab.h

............\...........cs4vm\COPYRIGHT

............\................\heart_scale.mat

............\................\make.m

............\................\Makefile

............\................\README

............\................\read_sparse.c

............\................\read_sparse.mexw32

............\................\read_sparse.mexw64

............\................\svm.cpp

............\................\svm.h

............\................\svmpredict.c

............\................\svmpredict.mexw32

............\................\svmpredict.mexw64

............\................\svmtrain.c

............\................\svmtrain.mexw32

............\................\svmtrain.mexw64

............\................\svm_model_matlab.c

............\................\svm_model_matlab.h

............\libsvm-mat-2.83-1

............\libsvm-mat-cs4vm

cs4vm-aaai10

Cost-Sensitive Semi-Supervised Support Vector Machine.pdf

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