-
2
-
-
33645505792
-
Convexity, classification, and risk bounds
-
P. L. Bartlett, M. I. Jordan, and J. D. McAuliffe. Convexity, classification, and risk bounds. Journal of the American Statistical Association, 101(473):138-156, 2006.
-
(2006)
Journal of the American Statistical Association
, vol.101
, Issue.473
, pp. 138-156
-
-
Bartlett, P.L.1
Jordan, M.I.2
McAuliffe, J.D.3
-
3
-
-
0026966646
-
A training algorithm for optimal margin classifiers
-
ISBN 0-89791-497-X.
-
B. E. Boser, I. M. Guyon, and V. N. Vapnik. A training algorithm for optimal margin classifiers. In Proceedings of the Fifth Annual Workshop on Computational Learning Theory, COLT '92, pages 144-152, 1992. ISBN 0-89791-497-X.
-
(1992)
Proceedings of the Fifth Annual Workshop on Computational Learning Theory, COLT '92
, pp. 144-152
-
-
Boser, B.E.1
Guyon, I.M.2
Vapnik, V.N.3
-
4
-
-
34249753618
-
Support vector networks
-
C. Cortes and V. Vapnik. Support vector networks. Machine Learning, 20:273-297, 1995.
-
(1995)
Machine Learning
, vol.20
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
5
-
-
0010442827
-
On the algorithmic implementation of multiclass kernel-based vector machines
-
K. Crammer, Y. Singer, N. Cristianini, J. Shawe-taylor, and B. Williamson. On the algorithmic implementation of multiclass kernel-based vector machines. Journal of Machine Learning Research, 2:265-292, 2001.
-
(2001)
Journal of Machine Learning Research
, vol.2
, pp. 265-292
-
-
Crammer, K.1
Singer, Y.2
Cristianini, N.3
Shawe-Taylor, J.4
Williamson, B.5
-
6
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
Y. Freund and R. E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1):119-139, 1997.
-
(1997)
Journal of Computer and System Sciences
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
7
-
-
0034164230
-
Additive logistic regression: A statistical view of boosting
-
J. Friedman, T. Hastie, and R. Tibshirani. Additive logistic regression: a statistical view of boosting. Annals of Statistics, 28(2):337-407, 2000.
-
(2000)
Annals of Statistics
, vol.28
, Issue.2
, pp. 337-407
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
8
-
-
77950537175
-
Regularization paths for generalized linear models via coordinate descent
-
J. Friedman, T. Hastie, and R. Tibshirani. Regularization paths for generalized linear models via coordinate descent. Journal of Statistical Software, 33(1):1-22, 2010.
-
(2010)
Journal of Statistical Software
, vol.33
, Issue.1
, pp. 1-22
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
9
-
-
84878927341
-
Multiclass distance weighted discrimination
-
Forthcoming
-
H. Huang, Y. Liu, Y. Du, C. Perou, D. N. Hayes, M. Todd, and J. S. Marron. Multiclass distance weighted discrimination. Journal of Computational and Graphical Statistics, 2013. Forthcoming.
-
(2013)
Journal of Computational and Graphical Statistics
-
-
Huang, H.1
Liu, Y.2
Du, Y.3
Perou, C.4
Hayes, D.N.5
Todd, M.6
Marron, J.S.7
-
10
-
-
2142775432
-
Multicategory support vector machines, theory, and application to the classification of microarray data and satellite radiance data
-
Y. Lee, Y. Lin, and G.Wahba. Multicategory support vector machines, theory, and application to the classification of microarray data and satellite radiance data. Journal of the American Statistical Association, 99(465):67-81, 2004.
-
(2004)
Journal of the American Statistical Association
, vol.99
, Issue.465
, pp. 67-81
-
-
Lee, Y.1
Lin, Y.2
Wahba, G.3
-
11
-
-
0034343415
-
Smoothing spline anova models for large data sets with bernoulli observations and the randomized gacv
-
X. Lin, G. Wahba, D. Xiang, F. Gao, R. Klein, and B. Klein. Smoothing spline anova models for large data sets with bernoulli observations and the randomized gacv. Annals of Statistics, 28(6): 1570-1600, 2000.
-
(2000)
Annals of Statistics
, vol.28
, Issue.6
, pp. 1570-1600
-
-
Lin, X.1
Wahba, G.2
Xiang, D.3
Gao, F.4
Klein, R.5
Klein, B.6
-
15
-
-
15944365213
-
Multicategory y-learning and support vector machine: Computational tools
-
Y. Liu, X. Shen, and H. Doss. Multicategory y-learning and support vector machine: computational tools. Journal of Computational and Graphical Statistics, 14(1):219-236, 2005.
-
(2005)
Journal of Computational and Graphical Statistics
, vol.14
, Issue.1
, pp. 219-236
-
-
Liu, Y.1
Shen, X.2
Doss, H.3
-
16
-
-
79954529373
-
Soft or hard classification? large margin unified machines
-
Y. Liu, H. H. Zhang, and Y.Wu. Soft or hard classification? large margin unified machines. Journal of the American Statistical Association, 106(493):166-177, 2011.
-
(2011)
Journal of the American Statistical Association
, vol.106
, Issue.493
, pp. 166-177
-
-
Liu, Y.1
Zhang, H.H.2
Wu, Y.3
-
17
-
-
38349049321
-
Distance weighted discrimination
-
J. S. Marron, M. Todd, and J. Ahn. Distance weighted discrimination. Journal of the American Statistical Association, 102(480):1267-1271, 2007.
-
(2007)
Journal of the American Statistical Association
, vol.102
, Issue.480
, pp. 1267-1271
-
-
Marron, J.S.1
Todd, M.2
Ahn, J.3
-
18
-
-
78649914553
-
Multicategory composite least squares classifiers
-
S. Y. Park, Y. Liu, D. Liu, and P. Scholl. Multicategory composite least squares classifiers. Statistical Analysis and Data Mining, 3(4):272-286, 2010.
-
(2010)
Statistical Analysis and Data Mining
, vol.3
, Issue.4
, pp. 272-286
-
-
Park, S.Y.1
Liu, Y.2
Liu, D.3
Scholl, P.4
-
19
-
-
21844489169
-
Convergence rate of sieve estimates
-
X. Shen andW. H.Wong. Convergence rate of sieve estimates. Annals of Statistics, 22(2):580-615, 1994.
-
(1994)
Annals of Statistics
, vol.22
, Issue.2
, pp. 580-615
-
-
Shen, X.1
Wong, W.H.2
-
20
-
-
0242679446
-
On y-learning
-
X. Shen, G. C. Tseng, X. Zhang, and W. H. Wong. On y-learning. Journal of the American Statistical Association, 98(463):724-734, 2003.
-
(2003)
Journal of the American Statistical Association
, vol.98
, Issue.463
, pp. 724-734
-
-
Shen, X.1
Tseng, G.C.2
Zhang, X.3
Wong, W.H.4
-
21
-
-
34247197035
-
Fast rates for support vector machines using gaussian kernels
-
I. Steinwart and C. Scovel. Fast rates for support vector machines using gaussian kernels. Annals of Statistics, 35(2):575-607, 2007.
-
(2007)
Annals of Statistics
, vol.35
, Issue.2
, pp. 575-607
-
-
Steinwart, I.1
Scovel, C.2
-
24
-
-
0035533631
-
Convergence of a block coordinate descent method for nondifferentiable minimization
-
P. Tseng. Convergence of a block coordinate descent method for nondifferentiable minimization. Journal of Optimization Theory and Applications, 109(3):475-494, 2001.
-
(2001)
Journal of Optimization Theory and Applications
, vol.109
, Issue.3
, pp. 475-494
-
-
Tseng, P.1
-
26
-
-
73649123907
-
Cancer Genome Atlas Research Network. Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in pdgfra, idh1, egfr, and nf1
-
R. G. Verhaak, K. A. Hoadley, E. Purdom, V. Wang, Y. Qi, M. D. Wilkerson, C. R. Miller, L. Ding, T. Golub, J. P. Mesirov, G. Alexe, M. Lawrence, M. O'Kelly, P. Tamayo, B. A. Weir, S. Gabriel, W. Winckler, S. Gupta, L. Jakkula, H. S. Feiler, J. G. Hodgson, C. D. James, J. N. Sarkaria, C. Brennan, A. Kahn, P. T. Spellman, R. K. Wilson, T. P. Speed, J. W. Gray, M. Meyerson, G. Getz, C. M. Perou, D. N. Hayes, and Cancer Genome Atlas Research Network. Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in pdgfra, idh1, egfr, and nf1. Cancer Cell, 17(1):98-110, 2010.
-
(2010)
Cancer Cell
, vol.17
, Issue.1
, pp. 98-110
-
-
Verhaak, R.G.1
Hoadley, K.A.2
Purdom, E.3
Wang, V.4
Qi, Y.5
Wilkerson, M.D.6
Miller, C.R.7
Ding, L.8
Golub, T.9
Mesirov, J.P.10
Alexe, G.11
Lawrence, M.12
O'Kelly, M.13
Tamayo, P.14
Weir, B.A.15
Gabriel, S.16
Winckler, W.17
Gupta, S.18
Jakkula, L.19
Feiler, H.S.20
Hodgson, J.G.21
James, C.D.22
Sarkaria, J.N.23
Brennan, C.24
Kahn, A.25
Spellman, P.T.26
Wilson, R.K.27
Speed, T.P.28
Gray, J.W.29
Meyerson, M.30
Getz, G.31
Perou, C.M.32
Hayes, D.N.33
more..
-
27
-
-
0001873883
-
Support vector machines, reproducing kernel hilbert spaces and the randomized GACV
-
MIT Press
-
G.Wahba. Support vector machines, reproducing kernel hilbert spaces and the randomized GACV. In Advances in Kernel Methods Support Vector Learning, pages 69-87. MIT Press, 1999.
-
(1999)
Advances in Kernel Methods Support Vector Learning
, pp. 69-87
-
-
Wahba, G.1
-
28
-
-
0037168506
-
Soft and hard classification by reproducing kernel hilbert space methods
-
G.Wahba. Soft and hard classification by reproducing kernel hilbert space methods. In Proceedings of the National Academy of Sciences, volume 99, pages 16524-16530, 2002.
-
(2002)
Proceedings of the National Academy of Sciences
, vol.99
, pp. 16524-16530
-
-
Wahba, G.1
-
29
-
-
40249094631
-
Probability estimation for large margin classifiers
-
J. Wang, X. Shen, and Y. Liu. Probability estimation for large margin classifiers. Biometrika, 95 (1):149-167, 2008.
-
(2008)
Biometrika
, vol.95
, Issue.1
, pp. 149-167
-
-
Wang, J.1
Shen, X.2
Liu, Y.3
-
30
-
-
34250708395
-
On l1-norm multi-class support vector machines: Methodology and theory
-
L. Wang and X. Shen. On l1-norm multi-class support vector machines: methodology and theory. Journal of the American Statistical Association, 102(478):595-602, 2007.
-
(2007)
Journal of the American Statistical Association
, vol.102
, Issue.478
, pp. 595-602
-
-
Wang, L.1
Shen, X.2
-
32
-
-
51349159085
-
Probability estimates for multi-class classification by pairwise coupling
-
T.-F. Wu, C.-J. Lin, and R. C. Weng. Probability estimates for multi-class classification by pairwise coupling. Journal of Machine Learning Research, 5:975-1005, 2004.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 975-1005
-
-
Wu, T.-F.1
Lin, C.-J.2
Weng, R.C.3
-
33
-
-
35348869458
-
Robust truncated-hinge-loss support vector machines
-
Y. Wu and Y. Liu. Robust truncated-hinge-loss support vector machines. Journal of the American Statistical Association, 102(479):974-983, 2007.
-
(2007)
Journal of the American Statistical Association
, vol.102
, Issue.479
, pp. 974-983
-
-
Wu, Y.1
Liu, Y.2
-
34
-
-
4644257995
-
Statistical behavior and consistency of classification methods based on convex risk minimization
-
T. Zhang. Statistical behavior and consistency of classification methods based on convex risk minimization. Annals of Statistics, 32:56-85, 2004a.
-
(2004)
Annals of Statistics
, vol.32
, pp. 56-85
-
-
Zhang, T.1
-
35
-
-
26944483874
-
Statistical analysis of some multi-category large margin classification methods
-
T. Zhang. Statistical analysis of some multi-category large margin classification methods. Journal of Machine Learning Research, 5:1225-1251, 2004b.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 1225-1251
-
-
Zhang, T.1
-
37
-
-
77958028886
-
Multi-class adaboost
-
J. Zhu, H. Zou, S. Rosset, and T. Hastie. Multi-class adaboost. Statistics and Its Interface, 2(3): 349-360, 2009.
-
(2009)
Statistics and Its Interface
, vol.2
, Issue.3
, pp. 349-360
-
-
Zhu, J.1
Zou, H.2
Rosset, S.3
Hastie, T.4
-
38
-
-
70049095487
-
New multicategory boosting algorithms based on multicategory fisher-consistent losses
-
H. Zou, J. Zhu, and T. Hastie. New multicategory boosting algorithms based on multicategory fisher-consistent losses. Annals of Applied Statistics, 2(4):1290-1306, 2008.
-
(2008)
Annals of Applied Statistics
, vol.2
, Issue.4
, pp. 1290-1306
-
-
Zou, H.1
Zhu, J.2
Hastie, T.3
|