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  1. No Access

    Chapter and Conference Paper

    A Synthetic Minority Oversampling Method Based on Local Densities in Low-Dimensional Space for Imbalanced Learning

    Imbalanced class distribution is a challenging problem in many real-life classification problems. Existing synthetic oversampling do suffer from the curse of dimensionality because they rely heavily on Euclide...

    Zhipeng **e, Liyang Jiang, Tengju Ye… in Database Systems for Advanced Applications (2015)

  2. No Access

    Chapter and Conference Paper

    MPTM: A Topic Model for Multi-Part Documents

    Topic models have been successfully applied to uncover hidden probabilistic structures in collections of documents, where documents are treated as unstructured texts. However, it is not uncommon that some docu...

    Zhipeng **e, Liyang Jiang, Tengju Ye… in Database Systems for Advanced Applications (2015)