A unifying view on dataset shift in classification

@article{MorenoTorres2012AUV,
  title={A unifying view on dataset shift in classification},
  author={Jose G. Moreno-Torres and Troy Raeder and Roc{\'i}o Ala{\'i}z-Rodr{\'i}guez and Nitesh V. Chawla and Francisco Herrera},
  journal={Pattern Recognition},
  year={2012},
  volume={45},
  pages={521-530}
}
The field of dataset shift has received a growing amount of interest in the last few years. The fact that most real-world applications have to cope with some form of shift makes its study highly relevant. The literature on the topic is mostly scattered, and different authors use different names to refer to the same concepts, or use the same name for different concepts. With this work, we attempt to present a unifying framework through the review and comparison of some of the most important… CONTINUE READING
Highly Cited
This paper has 223 citations. REVIEW CITATIONS

From This Paper

Figures and tables from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 116 extracted citations

224 Citations

0204060'12'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 224 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 44 references

A study on the use of imputation methods for experimentation with Radial Basis Function Network classifiers handling missing attribute values : the good synergy between rbfns and eventcovering method

  • S. Garcı́a J. Luengo, F. Herrera
  • Neural Networks
  • 2009

Classification under changes in class and within-class distributions

  • R. Alaiz-Rodrı́guez, A. Guerrero-Curieses, J. Cid-Sueiro
  • in: Proceedings of the 10th International Work…
  • 2009
2 Excerpts

Model monitor : evaluating , comparing , and monitoring models

  • N. V. Chawla T. Raeder
  • Journal of Machine Learning Research
  • 2009

Similar Papers

Loading similar papers…