Manifold proximal support vector machine for semi-supervised classification

@article{Chen2013ManifoldPS,
  title={Manifold proximal support vector machine for semi-supervised classification},
  author={Wei-Jie Chen and Yuan-Hai Shao and Deng-Ke Xu and Yong-Feng Fu},
  journal={Applied Intelligence},
  year={2013},
  volume={40},
  pages={623-638}
}
Recently, semi-supervised learning (SSL) has attracted a great deal of attention in the machine learning community. Under SSL, large amounts of unlabeled data are used to assist the learning procedure to construct a more reasonable classifier. In this paper, we propose a novel manifold proximal support vector machine (MPSVM) for semi-supervised classification. By introducing discriminant information in the manifold regularization (MR), MPSVM not only introduces MR terms to capture as much… CONTINUE READING

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