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    Article

    Manifold proximal support vector machine for semi-supervised classification

    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 const...

    Wei-Jie Chen, Yuan-Hai Shao, Deng-Ke Xu, Yong-Feng Fu in Applied Intelligence (2014)

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    Article

    Least squares twin parametric-margin support vector machine for classification

    In this paper, we propose a novel least squares twin parametric-margin support vector machine (TPMSVM) for binary classification, called LSTPMSVM for short. LSTPMSVM attempts to solve two modified primal probl...

    Yuan-Hai Shao, Zhen Wang, Wei-Jie Chen, Nai-Yang Deng in Applied Intelligence (2013)