An Open Multiple Instance Learning Framework and Its Application in Drug Activity Prediction Problems

@inproceedings{Huang2003AnOM,
  title={An Open Multiple Instance Learning Framework and Its Application in Drug Activity Prediction Problems},
  author={Xin Huang and Shu-Ching Chen and Mei-Ling Shyu},
  booktitle={BIBE},
  year={2003}
}
In this paper, a powerful open Multiple Instance Learning (MIL) framework is proposed. Such an open framework is powerful since different sub-methods can be plugged into the framework to generate different specific Multiple Instance Learning algorithms. In our proposed framework, the Multiple Instance Learning problem is first converted to an unconstrained optimization problem by the Minimum Square Error (MSE) criterion, and then the framework can be constructed with an open form of hypothesis… CONTINUE READING
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