-
1
-
-
31844431858
-
Healing the relevance vector machine by augmentation
-
De Raet and Wrobel, editors, ACM Press
-
Carl Edward Rasmussen and Joaquin Quiñonero-Candela. Healing the relevance vector machine by augmentation. In De Raet and Wrobel, editors, Proceedings of the 22nd International Conference on Machine Learning, pages 689-696, ACM Press, 2005.
-
(2005)
Proceedings of the 22nd International Conference on Machine Learning
, pp. 689-696
-
-
Rasmussen, C.E.1
Quiñonero-Candela, J.2
-
2
-
-
0030211964
-
Bagging predictors
-
Leo Breiman. Bagging predictors. Machine Learning, 24(2):123-140, 1996.
-
(1996)
Machine Learning
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
3
-
-
84898964855
-
Result analysis of the nips 2003 feature selection challenge
-
Lawrence K. Saul, Yair Weiss, and Léon Botton, editors, Cambridge, Massachussetts. The MIT Press
-
Isabelle Guyon, Steve Gunn, Asa Ben-Hur, and Gideon Dror. Result analysis of the nips 2003 feature selection challenge. In Lawrence K. Saul, Yair Weiss, and Léon Botton, editors, Advances in Neural Information Processing Systems 17, pages 545-552, Cambridge, Massachussetts, 2005. The MIT Press.
-
(2005)
Advances in Neural Information Processing Systems
, vol.17
, pp. 545-552
-
-
Guyon, I.1
Gunn, S.2
Ben-Hur, A.3
Dror, G.4
-
4
-
-
0020083498
-
The meaning and use of the Area under a Receiver Operating Characteristic ROC Curve
-
James A. Hanley and Barbara J. McNeil. The meaning and use of the Area under a Receiver Operating Characteristic ROC Curve. Radiology, 143(1):29-26, 1982.
-
(1982)
Radiology
, vol.143
, Issue.1
, pp. 29-126
-
-
Hanley, J.A.1
McNeil, B.J.2
-
5
-
-
35048850041
-
Learning depth from stereo
-
Carl Edward Rasmussen, Henrich H. Bülthoff, Martin A. Giese, and Bernhard Schölkopf, editors, Heidelberg, Germany. Springer
-
F. Sinz, J. Qniñonero-Candela, G. H. Bakir, C. E. Rasmussen, and M.O. Franz. Learning depth from stereo. In Carl Edward Rasmussen, Henrich H. Bülthoff, Martin A. Giese, and Bernhard Schölkopf, editors, Proc. 26 DAGM Pattern Recognition Symposium, pages 245-252, Heidelberg, Germany, 2004. Springer.
-
(2004)
Proc. 26 DAGM Pattern Recognition Symposium
, pp. 245-252
-
-
Sinz, F.1
Qniñonero-Candela, J.2
Bakir, G.H.3
Rasmussen, C.E.4
Franz, M.O.5
-
6
-
-
0003243224
-
Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
-
Alexander J. Smola, Peter Bartlett, Bernhard Schölkopf, and Dale Schnurmans, editors, Cambridge, MA. MIT Press
-
John C. Platt. Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. In Alexander J. Smola, Peter Bartlett, Bernhard Schölkopf, and Dale Schnurmans, editors, Advances in Large Margin Classifiers, pages 61-74, Cambridge, MA, 1999. MIT Press.
-
(1999)
Advances in Large Margin Classifiers
, pp. 61-74
-
-
Platt, J.C.1
-
7
-
-
84862595317
-
Estimating class membership probabilities using classifier learners
-
Robert G. Cowell mid Zoubin Ghahramani, editors. Society for Artificial Intelligence and Statistics
-
John Langford and Bianca Zadrozny. Estimating class membership probabilities using classifier learners. In Robert G. Cowell mid Zoubin Ghahramani, editors, Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, pages 198-205. Society for Artificial Intelligence and Statistics, 2005. (Available electronically at http://www.gatsby.ucl.ac.uk/aistats/).
-
(2005)
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics
, pp. 198-205
-
-
Langford, J.1
Zadrozny, B.2
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