Abstract：When the label proportion of unlabeled data is far away from that of labeled data, direct supervised support vector machine(SVM) with only labeled data outperforms semi-supervised SVM(S3VM) with unlabeled data. Thus, a shifted label proportion aware S3VM(fairS3VM) is proposed. Specifically, the label mean of unlabeled data is firstly estimated. Then multiple label means corresponding to multiple label proportions are integrated under the worst-case scenario. Experimental results show that the performance guarantee of S3VMs is effectively improved when the label proportion is shifted.
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2016, Vol. 29 
