Assessing the Impact of Changing Environments on Classifier Performance

Author:

Alaiz-Rodríguez Rocío,Japkowicz Nathalie

Publisher

Springer Berlin Heidelberg

Reference13 articles.

1. Alaiz-Rodríguez, R., Guerrero-Curieses, A., Cid-Sueiro, J.: Minimax regret classifier for imprecise class distributions. Journal of Machine Learning Research (2007)

2. Drummond, C., Holte, R.C.: Cost curves: An improved method for visualizing classifier performance. Machine Learning 65(1), 95–130 (2006)

3. Hand, D.J.: Classifier technology and the illusion of progress. Statistical Sciences 21(1), 1–15 (2006)

4. Holte, R.: Elaboration on two points raised in classifier technology and the illusion of progress. Statistical Science 21(1) (2006)

5. Huang, J., Smola, A.J., Gretton, A., Borgwardt, K.M., Schölkopf, B.: Correcting sample selection bias by unlabeled data. In: Schölkopf, B., Platt, J., Hoffman, T. (eds.) Advances in Neural Information Processing Systems 19, pp. 601–608. MIT Press, Cambridge (2007)

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