-
1
-
-
77956649096
-
A survey of cross-validation procedures for model selection
-
Arlot, S. and Celisse, A. A survey of cross-validation procedures for model selection. Statistics Surveys, 4:40-79, 2010.
-
(2010)
Statistics Surveys
, vol.4
, pp. 40-79
-
-
Arlot, S.1
Celisse, A.2
-
2
-
-
84897573740
-
A theory of learning from different domains
-
Ben-David, S., Blitzer, J., Crammer, K., Kulesza, A., Pereira, F., and Vaughan, J. Wortman. A theory of learning from different domains. Machine Learning, 79:151-175, 2010.
-
(2010)
Machine Learning
, vol.79
, pp. 151-175
-
-
Ben-David, S.1
Blitzer, J.2
Crammer, K.3
Kulesza, A.4
Pereira, F.5
Vaughan, J.W.6
-
3
-
-
84925604888
-
No unbiased estimator of the variance of k-fold cross-validation
-
Bengio, Y. and Grandvalet, Y. No unbiased estimator of the variance of k-fold cross-validation. Journal of Machine Learning Research, 5:1089-1105, 2003.
-
(2003)
Journal of Machine Learning Research
, vol.5
, pp. 1089-1105
-
-
Bengio, Y.1
Grandvalet, Y.2
-
4
-
-
84860524227
-
Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification
-
Blitzer, J., Dredze, M., and Pereira, F. Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In In Proceedings of Association of Computational Linguistics, 2007.
-
Proceedings of Association of Computational Linguistics, 2007
-
-
Blitzer, J.1
Dredze, M.2
Pereira, F.3
-
5
-
-
0031189914
-
Multi-task learning
-
Caruana, R. Multi-task learning. Machine Learning, 28:41-75, 1997.
-
(1997)
Machine Learning
, vol.28
, pp. 41-75
-
-
Caruana, R.1
-
6
-
-
0031625423
-
Learning to extract symbolic knowledge from the world wide web
-
Craven, M., DiPasquo, D., Freitag, D., McCallum, A., Mitchell, T., Nigain, K., and Slatteryy, S. Learning to extract symbolic knowledge from the world wide web. In Proceedings of the 15th National Conference on Artificial Intelligence (AAAI-98), 1998.
-
Proceedings of the 15th National Conference on Artificial Intelligence (AAAI-98), 1998
-
-
Craven, M.1
DiPasquo, D.2
Freitag, D.3
McCallum, A.4
Mitchell, T.5
Nigain, K.6
Slatteryy, S.7
-
7
-
-
77949462754
-
-
Technical Report 1285, Département d'informatique et recherche opérationnelle, Université de Montreal
-
Grandvalet, Y. and Bengio, Y. Hypothesis testing for cross-validation. Technical Report 1285, Département d'informatique et recherche opérationnelle, Université de Montreal, 2006.
-
(2006)
Hypothesis Testing for Cross-validation
-
-
Grandvalet, Y.1
Bengio, Y.2
-
8
-
-
70349847999
-
Covariate shift by kernel mean matching
-
Quihonero-Candela, J., Sugiyaina, M., Schwaighofer, A., and Lawrence, N.D. (eds.), The MIT Press
-
Gretton, A., Smola, A., Huang, J., Schmittfull, M., Borgwardt, K., and Schölkopf, B. &. Covariate shift by kernel mean matching. In Quihonero-Candela, J., Sugiyaina, M., Schwaighofer, A., and Lawrence, N.D. (eds.), Dataset shift in machine learning, pp. 131-160. The MIT Press, 2009.
-
(2009)
Dataset Shift in Machine Learning
, pp. 131-160
-
-
Gretton, A.1
Smola, A.2
Huang, J.3
Schmittfull, M.4
Borgwardt, K.5
Schölkopf, B.6
-
9
-
-
23244454640
-
Analysis of variance of cross-vahdation estimators of the generalization error
-
Markatou, M., Tian, H., Biswas, S., and Hripcsak, G. Analysis of variance of cross-vahdation estimators of the generalization error. Journal of Machine Learning Research, 6:1127-1168, 2005.
-
(2005)
Journal of Machine Learning Research
, vol.6
, pp. 1127-1168
-
-
Markatou, M.1
Tian, H.2
Biswas, S.3
Hripcsak, G.4
-
10
-
-
3242802095
-
Learning to decode cognitive states from brain images
-
Mitchell, T., Hutchinson, R., , Niculescu, R., Pereira, F., Wang, X., Justl, M., and Newman, S. Learning to decode cognitive states from brain images. Machine Learning, 57(1):145-175, 2004.
-
(2004)
Machine Learning
, vol.57
, Issue.1
, pp. 145-175
-
-
Mitchell, T.1
Hutchinson, R.2
Niculescu, R.3
Pereira, F.4
Wang, X.5
Justl, M.6
Newman, S.7
-
11
-
-
0042847140
-
Inference for the generalization error
-
Nadeau, C. and Bengio, Y. Inference for the generalization error. Machine Learning, 52:239-281, 2003.
-
(2003)
Machine Learning
, vol.52
, pp. 239-281
-
-
Nadeau, C.1
Bengio, Y.2
-
12
-
-
84897523788
-
Accuracy estimation with clustered dataset
-
Rakotomalala, R., Chauchat, J.-H., and Pellegrino, F. Accuracy estimation with clustered dataset. In In Proceedings of Australasian conference on Data mining and analytics, 2006.
-
Proceedings of Australasian Conference on Data Mining and Analytics, 2006
-
-
Rakotomalala, R.1
Chauchat, J.-H.2
Pellegrino, F.3
-
14
-
-
34249047899
-
Covariate shift adaptation by importance weighted cross validation
-
Sugiyama, M., Krauledat, M., and Miiller, K.-R. Covariate shift adaptation by importance weighted cross validation. Journal of Machine Learning Research, 8:985-1005, 2007.
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 985-1005
-
-
Sugiyama, M.1
Krauledat, M.2
Miiller, K.-R.3
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