Browsing by Author "Xua, Xiangyang"

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Browsing by Author "Xua, Xiangyang"

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  • Zhu, Zhenfeng; Zhu, Xingquan; Ye, Yangdong; Gua, Yue-Fei; Xua, Xiangyang (ACM, 2011)
    Active learning traditionally assumes that labeled and unlabeled samples are subject to the same distributions and the goal of an active learner is to label the most informative unlabeled samples. In reality, situations ...
  • Zhu, Zhenfeng; Zhu, Xingquan; Gua, Yue-Fei; Xua, Xiangyang (ACM, 2010)
    Traditional machine learning methods, such as Support Vector Machines (SVMs), usually assume that training and test data share the same distributions. Due to the inherent dynamic data nature, it is often observed that (1) ...