-
1
-
-
33845519968
-
-
Fan' et al 2005] Fan W., Davidson I., Zadrozny B. and Yu P., (2005), An Improved Categorization of Classifier's Sensitivity on Sample Selection Bias, 5th IEEE International Conference on Data Mining, ICDM 2005.
-
Fan' et al 2005] Fan W., Davidson I., Zadrozny B. and Yu P., (2005), An Improved Categorization of Classifier's Sensitivity on Sample Selection Bias, 5th IEEE International Conference on Data Mining, ICDM 2005.
-
-
-
-
2
-
-
33749571093
-
-
Fan and Davidson, 2006] Fan W., and Davidson I., (2006) ReverseTesting: An Efficient Framework to Select Amongst Classifers under Sample Selection Bias, 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2006.
-
Fan and Davidson, 2006] Fan W., and Davidson I., (2006) ReverseTesting: An Efficient Framework to Select Amongst Classifers under Sample Selection Bias, 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2006.
-
-
-
-
3
-
-
70449095922
-
-
Davidson and Fan, 2006] Davidson I., and Fan W., (2006) When Efficient Model Averaging Out-Performs Boosting and Bagging, 17th European Conference on Machine Learning and 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD06).
-
Davidson and Fan, 2006] Davidson I., and Fan W., (2006) When Efficient Model Averaging Out-Performs Boosting and Bagging, 17th European Conference on Machine Learning and 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD06).
-
-
-
-
4
-
-
70449109197
-
-
Heckman, 1979] Heckman, J. (1979). Sample selection bias as a specification error. Econometrica, 47:153-161.
-
Heckman, 1979] Heckman, J. (1979). Sample selection bias as a specification error. Econometrica, 47:153-161.
-
-
-
-
5
-
-
85101444608
-
-
Little and Rubin, 2002] Little, R. and Rubin, D. (2002). Statistical Analysis with Missing Data. Wiley, 2nd edition.
-
Little and Rubin, 2002] Little, R. and Rubin, D. (2002). Statistical Analysis with Missing Data. Wiley, 2nd edition.
-
-
-
-
6
-
-
78149327484
-
-
Peng et. al 2003] Peng, K., Vucetic, S., Han, B., Xie H. and Obradovic, Z. (2003). Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining Proc. Third IEEE Int'l Conf. Data Mining, Melbourne, Fl, pp. 267-274.
-
Peng et. al 2003] Peng, K., Vucetic, S., Han, B., Xie H. and Obradovic, Z. (2003). Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining Proc. Third IEEE Int'l Conf. Data Mining, Melbourne, Fl, pp. 267-274.
-
-
-
-
7
-
-
27344454215
-
-
Chawla and Karakoulas, 2005] Chawla N. V. and Karakoulas G. (2005). Learning From Labeled And Unlabeled Data: An Empirical Study Across Techniques And Domains Journal of Artificial Intelligence and Research, 23, pages 331-366.
-
Chawla and Karakoulas, 2005] Chawla N. V. and Karakoulas G. (2005). Learning From Labeled And Unlabeled Data: An Empirical Study Across Techniques And Domains Journal of Artificial Intelligence and Research, Volume 23, pages 331-366.
-
-
-
-
8
-
-
70449088963
-
-
Huang et al., 2006] Huang, J., Smola, A., Gretton, A., Borgwardt, K., and Scholkopf, B. (2006). Correcting Sample Selection Bias by Unlabeled Data In Proceedings of Neural Information Processsing System Conference (NIPS'2006), December 4-6, 2006, Vancouver, BC, Canada.
-
Huang et al., 2006] Huang, J., Smola, A., Gretton, A., Borgwardt, K., and Scholkopf, B. (2006). Correcting Sample Selection Bias by Unlabeled Data In Proceedings of Neural Information Processsing System Conference (NIPS'2006), December 4-6, 2006, Vancouver, BC, Canada.
-
-
-
-
9
-
-
33749554765
-
-
Rosset et al., 2005] Rosset, S., Zhu, J., Zou, H., and Hastie, T. (2005). A method for inferring label sampling mechanisms in semisupervised learning. In Advances in Neural Information Processing Systems 17, pages 1161-1168. MIT Press.
-
Rosset et al., 2005] Rosset, S., Zhu, J., Zou, H., and Hastie, T. (2005). A method for inferring label sampling mechanisms in semisupervised learning. In Advances in Neural Information Processing Systems 17, pages 1161-1168. MIT Press.
-
-
-
-
10
-
-
12244265089
-
-
Smith and Elkan, 2004] Smith, A. and Elkan, C. (2004). A bayesian network framework for reject inference. In Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 286-295.
-
Smith and Elkan, 2004] Smith, A. and Elkan, C. (2004). A bayesian network framework for reject inference. In Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 286-295.
-
-
-
-
12
-
-
84945313388
-
-
Vittaut et al., 2002] Vittaut, J., Amini, M., and Gallinari, P. (2002), Learning Classification with Both Labeled and Unlabeled Data. In ECML 2002, pages 468-479.
-
Vittaut et al., 2002] Vittaut, J., Amini, M., and Gallinari, P. (2002), Learning Classification with Both Labeled and Unlabeled Data. In ECML 2002, pages 468-479.
-
-
-
-
13
-
-
14344263218
-
-
Zadrozny, 2004] Zadrozny, B. (2004). Learning and evaluating classifiers under sample selection bias. In Proceedings of the 21th International Conference on Machine Learning.
-
Zadrozny, 2004] Zadrozny, B. (2004). Learning and evaluating classifiers under sample selection bias. In Proceedings of the 21th International Conference on Machine Learning.
-
-
-
|