Non-greedy active learning for text categorization using convex transductive experimental design

@inproceedings{Yu2008NongreedyAL,
  title={Non-greedy active learning for text categorization using convex transductive experimental design},
  author={Kai Yu and Shenghuo Zhu and Wei Xu and Yihong Gong},
  booktitle={SIGIR},
  year={2008}
}
In this paper we propose a non-greedy active learning method for text categorization using least-squares support vector machines (LSSVM). Our work is based on transductive experimental design (TED), an active learning formulation that effectively explores the information of unlabeled data. Despite its appealing properties, the optimization problem is however NP-hard and thus--like most of other active learning methods--a greedy sequential strategy to select one data example after another was… CONTINUE READING
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