Predicting more from less: Synergies of learning

@article{Kocaguneli2013PredictingMF,
  title={Predicting more from less: Synergies of learning},
  author={Ekrem Kocaguneli and Bojan Cukic and Huihua Lu},
  journal={2013 2nd International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE)},
  year={2013},
  pages={42-48}
}
Thanks to the ever increasing importance of project data, its collection has been one of the primary focuses of software organizations. Data collection activities have resulted in the availability of massive amounts of data through software data repositories. This is great news for the predictive modeling research in software engineering. However, widely used supervised methods for predictive modeling require labeled data that is relevant to the local context of a project. This requirement… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

References

Publications referenced by this paper.
SHOWING 1-10 OF 42 REFERENCES

Analysis of a greedy active learning strategy

  • S. Dasgupta
  • Neural Information Processing Systems 17:, 1(x),
  • 2005
Highly Influential
4 Excerpts

Similar Papers

Loading similar papers…