Batch mode active learning and its application to medical image classification

@inproceedings{Hoi2006BatchMA,
  title={Batch mode active learning and its application to medical image classification},
  author={Steven C. H. Hoi and Rong Jin and Jianke Zhu and Michael R. Lyu},
  booktitle={ICML},
  year={2006}
}
The goal of active learning is to select the most informative examples for manual labeling. Most of the previous studies in active learning have focused on selecting a single unlabeled example in each iteration. This could be inefficient since the classification model has to be retrained for every labeled example. In this paper, we present a framework for "batch mode active learning" that applies the Fisher information matrix to select a number of informative examples simultaneously. The key… CONTINUE READING
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