Active learning via transductive experimental design

@inproceedings{Yu2006ActiveLV,
  title={Active learning via transductive experimental design},
  author={Kai Yu and Jinbo Bi and Volker Tresp},
  booktitle={ICML},
  year={2006}
}
This paper considers the problem of selecting the most informative experiments x to get measurements y for learning a regression model y = f(x). We propose a novel and simple concept for active learning, transductive experimental design, that explores available unmeasured experiments (i.e., unlabeled data) and has a better scalability in comparison with classic experimental design methods. Our in-depth analysis shows that the new method tends to favor experiments that are on the one side hard… CONTINUE READING

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