A Faster Algorithm for Generalized Multiple-Instance Learning

@inproceedings{Tao2004AFA,
  title={A Faster Algorithm for Generalized Multiple-Instance Learning},
  author={Qingping Tao and Stephen D. Scott},
  booktitle={FLAIRS Conference},
  year={2004}
}
In our prior work, we introduced a generalization of the multiple-instance learning (MIL) model in which a bag’s label is not based on a single instance’s proximity to a single target point. Rather, a bag is positive if and only if it contains acollectionof instances, each near one of asetof target points. This generalized model is much more expressive than the conventional multipleinstance model, and our first algorithm in this model had significantly lower generalization error on several… CONTINUE READING
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