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 Description: 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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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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