-
1
-
-
84880899766
-
Locality sensitive discriminant analysis
-
D. Cai, X. He, K. Zhou, J. Han, and H. Bao. Locality sensitive discriminant analysis. In Proceedings of the 20th International Joint Conference on Artifical Intelligence, pages 708-713, 2007.
-
(2007)
Proceedings of the 20th International Joint Conference on Artifical Intelligence
, pp. 708-713
-
-
Cai, D.1
He, X.2
Zhou, K.3
Han, J.4
Bao, H.5
-
6
-
-
33646023117
-
An introduction to roc analysis
-
T. Fawcett. An introduction to roc analysis. Pattern Recognition Letters, 27:861-874, 2006.
-
(2006)
Pattern Recognition Letters
, vol.27
, pp. 861-874
-
-
Fawcett, T.1
-
8
-
-
84898993653
-
Neighbourhood component analysis
-
J. Goldberger, S. Roweis, G. Hinton, and R. Salakhutdinov. Neighbourhood component analysis. In Advances in Neural Information Processing Systems 17, pages 513-520, 2005.
-
(2005)
Advances in Neural Information Processing Systems
, vol.17
, pp. 513-520
-
-
Goldberger, J.1
Roweis, S.2
Hinton, G.3
Salakhutdinov, R.4
-
9
-
-
4444292273
-
Risk adjustment of medicare capitation payments using the cms-hcc model
-
D. J. Hand. Risk adjustment of medicare capitation payments using the cms-hcc model. Health Care Financing Review, 25(4), 2004.
-
(2004)
Health Care Financing Review
, vol.25
, Issue.4
-
-
Hand, D.J.1
-
13
-
-
69549133517
-
Measuring classifier performance: A coherent alternative to the area under the roc curve
-
G. Pope, J. Kautter, R. Ellis, A. Ash, J. Ayanian, L. Iezzoni, M. Ingber, J. Levy, and J. Robst. Measuring classifier performance: A coherent alternative to the area under the roc curve. Machine Learning, 77:103-123, 2009.
-
(2009)
Machine Learning
, vol.77
, pp. 103-123
-
-
Pope, G.1
Kautter, J.2
Ellis, R.3
Ash, A.4
Ayanian, J.5
Iezzoni, L.6
Ingber, M.7
Levy, J.8
Robst, J.9
-
17
-
-
70349246930
-
Semi-supervised metric learning by maximizing constraint margin
-
F. Wang, S. Chen, T. Li, and C. Zhang. Semi-supervised metric learning by maximizing constraint margin. In Proceedings of ACM 17th Conference on Information and Knowledge Management, pages 1457-1458, 2008.
-
(2008)
Proceedings of ACM 17th Conference on Information and Knowledge Management
, pp. 1457-1458
-
-
Wang, F.1
Chen, S.2
Li, T.3
Zhang, C.4
-
18
-
-
70349246930
-
Semi-supervised metric learning by maximizing constraint margin
-
Napa Valley, California, USA
-
F. Wang, S. Chen, T. Li, and C. Zhang. Semi-supervised metric learning by maximizing constraint margin. In ACM 17th Conference on Information and Knowledge Management (CIKM), pages 1457-1458, Napa Valley, California, USA, 2008.
-
(2008)
ACM 17th Conference on Information and Knowledge Management (CIKM)
, pp. 1457-1458
-
-
Wang, F.1
Chen, S.2
Li, T.3
Zhang, C.4
-
19
-
-
61749090884
-
Distance metric learning for large margin nearest neighbor classification
-
K. Q. Weinberger and L. K. Saul. Distance metric learning for large margin nearest neighbor classification. The Journal of Machine Learning Research, 10:207-244, 2009.
-
(2009)
The Journal of Machine Learning Research
, vol.10
, pp. 207-244
-
-
Weinberger, K.Q.1
Saul, L.K.2
-
20
-
-
84879571292
-
Distance metric learning with application to clustering with side-information
-
E. Xing, A. Ng, M. Jordan, and S. Russell. Distance metric learning with application to clustering with side-information. In Advances in Neural Information Processing System 15, pages 505-512, 2003.
-
(2003)
Advances in Neural Information Processing System
, vol.15
, pp. 505-512
-
-
Xing, E.1
Ng, A.2
Jordan, M.3
Russell, S.4
-
22
-
-
0013246766
-
Spectral relaxation for k-means clustering
-
H. Zha, X. He, C. Ding, H. Simon, and M. Gu. Spectral relaxation for k-means clustering. In Advances in Neural Information Processing Systems, pages 1057-1064, 2001.
-
(2001)
Advances in Neural Information Processing Systems
, pp. 1057-1064
-
-
Zha, H.1
He, X.2
Ding, C.3
Simon, H.4
Gu, M.5
|