A survey on instance selection for active learning

@article{Fu2012ASO,
  title={A survey on instance selection for active learning},
  author={Yifan Fu and Xingquan Zhu and Bin Li},
  journal={Knowledge and Information Systems},
  year={2012},
  volume={35},
  pages={249-283}
}
Active learning aims to train an accurate prediction model with minimum cost by labeling most informative instances. In this paper, we survey existing works on active learning from an instance-selection perspective and classify them into two categories with a progressive relationship: (1) active learning merely based on uncertainty of independent and identically distributed (IID) instances, and (2) active learning by further taking into account instance correlations. Using the above… CONTINUE READING
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