-
1
-
-
70349136140
-
Generalized non-metric multidimensional scaling
-
Agarwal, S. (2007). Generalized non-metric multidimensional scaling. AISTATS 07.
-
(2007)
AISTATS 07
-
-
Agarwal, S.1
-
5
-
-
33745887620
-
Neighbourhood Components Analysis
-
Goldberger, J., Roweis, S., Hinton, G., & Salakhutdinov, R. (2004). Neighbourhood Components Analysis. NIPS.
-
(2004)
NIPS
-
-
Goldberger, J.1
Roweis, S.2
Hinton, G.3
Salakhutdinov, R.4
-
6
-
-
0030164799
-
Discriminant adaptive nearest neighbor classification
-
Hastie, T., & Tibshirani, R. (1996). Discriminant adaptive nearest neighbor classification. IEEE Trans. PAMI, 18, 607-616.
-
(1996)
IEEE Trans. PAMI
, vol.18
, pp. 607-616
-
-
Hastie, T.1
Tibshirani, R.2
-
7
-
-
0008371352
-
Large margin rank boundaries for ordinal regression
-
Herbrich, R., Graepel, T., & Obermayer, K. (1999). Large margin rank boundaries for ordinal regression. Advances in Large Margin Classifiers, 115-132.
-
(1999)
Advances in Large Margin Classifiers
, pp. 115-132
-
-
Herbrich, R.1
Graepel, T.2
Obermayer, K.3
-
8
-
-
0242456822
-
Optimizing search engines using click-through data
-
Joachims, T. (2002). Optimizing search engines using click-through data. Proc. of SIGKDD '02.
-
(2002)
Proc. of SIGKDD '02
-
-
Joachims, T.1
-
10
-
-
56449120554
-
Gaussian and Wishart Hyperkernels
-
Kondor, R., & Jebara, T. (2006). Gaussian and Wishart Hyperkernels. NIPS.
-
(2006)
NIPS
-
-
Kondor, R.1
Jebara, T.2
-
11
-
-
1942516950
-
Learning with Idealized Kernels
-
Kwok, J. T., & Tsang, I. W. (2003). Learning with Idealized Kernels. ICML.
-
(2003)
ICML
-
-
Kwok, J.T.1
Tsang, I.W.2
-
12
-
-
8844278523
-
Learning the Kernel Matrix with Semidenite Programming
-
Lanckriet, G., Cristianini, N., Bartlett, P., Ghaoui, L., & Jordan, M. I. (2004). Learning the Kernel Matrix with Semidenite Programming. Journal of Machine Learning Research, 5, 27-72.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 27-72
-
-
Lanckriet, G.1
Cristianini, N.2
Bartlett, P.3
Ghaoui, L.4
Jordan, M.I.5
-
14
-
-
21844468979
-
Learning the Kernel with Hyperkernels
-
Ong, C. S., Smola, A. J., & Williamson, R. C. (2005). Learning the Kernel with Hyperkernels. Journal of Machine Learning Research, 6, 1043-1071.
-
(2005)
Journal of Machine Learning Research
, vol.6
, pp. 1043-1071
-
-
Ong, C.S.1
Smola, A.J.2
Williamson, R.C.3
-
15
-
-
9444220002
-
Learning a Distance Metric from Relative Comparisons
-
Schultz, M., & Joachims, T. (2003). Learning a Distance Metric from Relative Comparisons. NIPS.
-
(2003)
NIPS
-
-
Schultz, M.1
Joachims, T.2
-
16
-
-
0033296299
-
Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones
-
Strum, J. F. (1999). Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones. Optimization Methods and Software, 11.
-
(1999)
Optimization Methods and Software
, vol.11
-
-
Strum, J.F.1
-
17
-
-
0034704229
-
A Global Geometric Framework for Nonlinear Dimensionality Reduction
-
Tenenbauni, J. B., de Silva, V., & Langford, J. C. (2000). A Global Geometric Framework for Nonlinear Dimensionality Reduction. Science, 290, 2319-2323.
-
(2000)
Science
, vol.290
, pp. 2319-2323
-
-
Tenenbauni, J.B.1
de Silva, V.2
Langford, J.C.3
-
18
-
-
0030106462
-
Semidefinite Programming
-
Vandenberghe, L., & Boyd, S. (1996). Semidefinite Programming. SIAM Review, 38, 49-95.
-
(1996)
SIAM Review
, vol.38
, pp. 49-95
-
-
Vandenberghe, L.1
Boyd, S.2
-
19
-
-
85133386144
-
Distance Metric Learning with Application to Clustering with Side-Information
-
Xing, E. P., Ng, A. Y., Jordan, M. I., & Russell, S. (2002). Distance Metric Learning with Application to Clustering with Side-Information. NIPS.
-
(2002)
NIPS
-
-
Xing, E.P.1
Ng, A.Y.2
Jordan, M.I.3
Russell, S.4
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