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A novel support vector machine with manifold regularization and partially labeling privacy protection, termed as SVM-MR&PLPP, is proposed for semi-supervised learning (SSL) scenarios where only few labeled data and the class proportion of unlabeled data, due to privacy protection concerns, are available. It integrates manifold regularization and privacy protection regularization into the Laplacian...
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