-
1
-
-
55449125185
-
Support vector machines and kernels for computational biology
-
A. Ben-Hur, C.S. Ong, S. Sonnenburg, B. Schölkopf, and G. Rätsch, Support vector machines and kernels for computational biology, PLoS Comput. Biol. 4(10) (2008), e1000173.
-
(2008)
PLoS Comput. Biol.
, vol.4
, Issue.10
-
-
Ben-Hur, A.1
Ong, C.S.2
Sonnenburg, S.3
Schölkopf, B.4
Rätsch, G.5
-
2
-
-
0002709342
-
Feature selection via concave minimization and support vector machines
-
Madison, Wisconsin, USA
-
P.S. Bradley and O.L. Mangasarian, Feature selection via concave minimization and support vector machines, Proceedings of International Conference on Machina Learning, Madison, Wisconsin, USA, 1998.
-
(1998)
Proceedings of International Conference on Machina Learning
-
-
Bradley, P.S.1
Mangasarian, O.L.2
-
3
-
-
84887352298
-
Trading convexity for scalability
-
L. Bottou, O. Chapelle, D. DeCoste, and J.Weston, eds. MIT Press, USA
-
R. Collobert, F. Sinz, J.Weston, and L. Bottou, Trading convexity for scalability, in Large Scale Kernel Machines, L. Bottou, O. Chapelle, D. DeCoste, and J.Weston, eds., MIT Press, USA, 2007, pp. 275-300.
-
(2007)
Large Scale Kernel Machines
, pp. 275-300
-
-
Collobert, R.1
Sinz, F.2
Weston, J.3
Bottou, L.4
-
4
-
-
84858770497
-
Tighter bounds for structured estimation
-
Vancouver, British Columbia, Canada
-
C.B. Do, Q. Le, C.H. Teo, O. Chapelle, and A. Smola, Tighter bounds for structured estimation, in Proceedings of Neural Information Processing Systems 2008, Vancouver, British Columbia, Canada, pp. 281-288.
-
(2008)
Proceedings of Neural Information Processing Systems
, pp. 281-288
-
-
Do, C.B.1
Le, Q.2
Teo, C.H.3
Chapelle, O.4
Smola, A.5
-
5
-
-
50949133669
-
LIBLINEAR:A library for large linear classification
-
R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R.Wang, and C.-J. Lin, LIBLINEAR:A library for large linear classification, J. Mach. Learn. Res. 9 (2008), pp. 1871-1874.
-
(2008)
J. Mach. Learn. Res.
, vol.9
, pp. 1871-1874
-
-
Fan, R.-E.1
Chang, K.-W.2
Hsieh, C.-J.3
Wang, X.-R.4
Lin, C.-J.5
-
6
-
-
77957197521
-
-
Tech. Rep. arXiv:0905.2138.v1, Computer Science and Engineering, UCSD
-
Y. Freund, A more robust boosting algorithm, Tech. Rep. arXiv:0905.2138.v1, Computer Science and Engineering, UCSD, 2009.
-
(2009)
A More Robust Boosting Algorithm
-
-
Freund, Y.1
-
7
-
-
70450245260
-
Recovering sparse signals with a certain family of non-convex penalties and DC programming
-
G. Gasso, A. Rakotomamonjy, and S. Canu, Recovering sparse signals with a certain family of non-convex penalties and DC programming, IEEE Trans. Signal Process. 57(12) (2009), pp. 4686-4698.
-
(2009)
IEEE Trans. Signal Process.
, vol.57
, Issue.12
, pp. 4686-4698
-
-
Gasso, G.1
Rakotomamonjy, A.2
Canu, S.3
-
8
-
-
33745561205
-
An introduction to variable and feature selection
-
I. Guyon and A. Elisseeff, An introduction to variable and feature selection, J. Mach. Learn. Res. 3 (2003), pp. 1157-1182.
-
(2003)
J. Mach. Learn. Res.
, vol.3
, pp. 1157-1182
-
-
Guyon, I.1
Elisseeff, A.2
-
10
-
-
14344255186
-
Leveraging the margin more carefully
-
Banff, Alberta, Canada
-
N. Krause and Y. Singer, Leveraging the margin more carefully, Proceedings of the Twenty-first International Conference on Machine Learning, Banff, Alberta, Canada, 2004.
-
(2004)
Proceedings of the Twenty-first International Conference on Machine Learning
-
-
Krause, N.1
Singer, Y.2
-
11
-
-
15244346000
-
The DC (difference of convex functions) programming and DCA revisited with DC models of real world nonconvex optimization problems
-
H.A. Le Thi and T. Pham Dinh, The DC (difference of convex functions) programming and DCA revisited with DC models of real world nonconvex optimization problems, Ann. Oper. Res. 133 (2005), pp. 23-46.
-
(2005)
Ann. Oper. Res.
, vol.133
, pp. 23-46
-
-
Le Thi, H.A.1
Pham Dinh, T.2
-
12
-
-
33847251003
-
A new efficient algorithm based on DC programming and DCA for clustering
-
H.A. Le Thi, T. Belghiti, and T. Pham Dinh, A new efficient algorithm based on DC programming and DCA for clustering, J. Global Optim. 37 (2006), pp. 593-608.
-
(2006)
J. Global Optim.
, vol.37
, pp. 593-608
-
-
Le Thi, H.A.1
Belghiti, T.2
Pham Dinh, T.3
-
13
-
-
34447102036
-
Optimization based DC programming and DCA for hierarchical clustering
-
H.A. Le Thi, H. Minh Le, and T. Pham Dinh, Optimization based DC programming and DCA for hierarchical clustering, Eur. J. Oper. Res. 183 (2007), pp. 1067-1085.
-
(2007)
Eur. J. Oper. Res.
, vol.183
, pp. 1067-1085
-
-
Le Thi, H.A.1
Minh Le, H.2
Pham Dinh, T.3
-
14
-
-
57849147343
-
A DC programming approach for feature selection in support vector machines learning
-
H.A. Le Thi, H.M. Le, V.V. Nguyen, and T. Pham Dinh, A DC programming approach for feature selection in support vector machines learning, Adv. Data Anal. Classification 2(3) (2008), pp. 259-278.
-
(2008)
Adv. Data Anal. Classification
, vol.2
, Issue.3
, pp. 259-278
-
-
Le Thi, H.A.1
Le, H.M.2
Nguyen, V.V.3
Pham Dinh, T.4
-
15
-
-
33745638149
-
Multicategory ψ-learning
-
Y. Liu and X. Shen, Multicategory ψ-learning, J. Amer. Statist. Assoc. 101 (2006), pp. 500-509.
-
(2006)
J. Amer. Statist. Assoc.
, vol.101
, pp. 500-509
-
-
Liu, Y.1
Shen, X.2
-
16
-
-
15944365213
-
Multicategory ψ-learning and support vector machine: Computational tools
-
Y. Liu, X. Shen, and H. Doss, Multicategory ψ-learning and support vector machine: Computational tools, J. Comput. Graph. Statist. 14 (2005), pp. 219-236.
-
(2005)
J. Comput. Graph. Statist.
, vol.14
, pp. 219-236
-
-
Liu, Y.1
Shen, X.2
Doss, H.3
-
17
-
-
56449118765
-
Random classification noise defeats all convex potential boosters
-
Helsinki, Finland
-
P. Long and R. Servedio, Random classification noise defeats all convex potential boosters, International Conference on Machine Learning, Helsinki, Finland, 2008.
-
(2008)
International Conference on Machine Learning
-
-
Long, P.1
Servedio, R.2
-
18
-
-
33745801137
-
Exact 1-norm support vector machines via unconstrained convex differentiable minimization
-
O.L. Mangasarian, Exact 1-norm support vector machines via unconstrained convex differentiable minimization, J. Mach. Learn. Res. 7 (2006), pp. 1517-1530.
-
(2006)
J. Mach. Learn. Res.
, vol.7
, pp. 1517-1530
-
-
Mangasarian, O.L.1
-
19
-
-
65349193793
-
Lasso-type recovery of sparse representations for high-dimensional data
-
N. Meinshausen and B.Yu, Lasso-type recovery of sparse representations for high-dimensional data, Ann. Statist. 37(1) (2009), pp. 246-270.
-
(2009)
Ann. Statist.
, vol.37
, Issue.1
, pp. 246-270
-
-
Meinshausen, N.1
Yu, B.2
-
20
-
-
30044438683
-
Combined SVM-based feature selection and classification
-
J. Neumann, C. Schnörr, and G. Steidl, Combined SVM-based feature selection and classification, Mach. Learn. 61(1-3) (2005), pp. 129-150.
-
(2005)
Mach. Learn.
, vol.61
, Issue.1-3
, pp. 129-150
-
-
Neumann, J.1
Schnörr, C.2
Steidl, G.3
-
21
-
-
35248871506
-
A bilinear formulation for vector sparsity optimization
-
D. Peleg and R. Meir, A bilinear formulation for vector sparsity optimization, Signal Process. 88 (2008), pp. 375-389.
-
(2008)
Signal Process.
, vol.88
, pp. 375-389
-
-
Peleg, D.1
Meir, R.2
-
22
-
-
0142145419
-
Algorithms for solving a class of non convex optimization problems. Methods of subgradients
-
Mathematics for Optimization, J.B. Hiriart-Urruty ed. Elsevier Science Publishers, B.V. North- Holland
-
T. Pham Dinh, Algorithms for solving a class of non convex optimization problems. Methods of subgradients, in Fermat Days 85. Mathematics for Optimization, J.B. Hiriart-Urruty ed., Elsevier Science Publishers, B.V. North- Holland, 1986.
-
(1986)
Fermat Days
, vol.85
-
-
Pham Dinh, T.1
-
23
-
-
0032081028
-
DC optimization algorithms for solving the trust region subproblem
-
T. Pham Dinh and H.A. Le Thi, DC optimization algorithms for solving the trust region subproblem, SIAM J. Optim. 8(2) (1998), pp. 476-505.
-
(1998)
SIAM J. Optim.
, vol.8
, Issue.2
, pp. 476-505
-
-
Pham Dinh, T.1
Le Thi, H.A.2
-
25
-
-
0010786475
-
On the influence of the kernel on the consistency of support vector machines
-
I. Steinwart, On the influence of the kernel on the consistency of support vector machines, J. Mach. Learn. Res. 2 (2001), pp. 67-93.
-
(2001)
J. Mach. Learn. Res.
, vol.2
, pp. 67-93
-
-
Steinwart, I.1
-
27
-
-
38049041673
-
An oracle inequality for clipped regularized risk minimizers
-
B. Schölkopf, J. Platt, and T. Hoffman, eds., MIT Press, Cambridge, MA
-
I. Steinwart, D. Hush, and C. Scovel, An oracle inequality for clipped regularized risk minimizers, In B. Schölkopf, J. Platt, and T. Hoffman, eds., Advances in Neural Information Processing Systems 19, MIT Press, Cambridge, MA, pp. 1321-1328.
-
Advances in Neural Information Processing Systems
, vol.19
, pp. 1321-1328
-
-
Steinwart, I.1
Hush, D.2
Scovel, C.3
-
28
-
-
85194972808
-
Regression shrinkage and selection via the LASSO
-
R. Tibshirani, Regression shrinkage and selection via the LASSO, J. R. Statist. Soc. B. 58(1) (1996), pp. 267-288.
-
(1996)
J. R. Statist. Soc. B.
, vol.58
, Issue.1
, pp. 267-288
-
-
Tibshirani, R.1
-
29
-
-
35348869458
-
Robust truncated-hinge-loss support vector machines
-
Y. Wu and Y. Liu, Robust truncated-hinge-loss support vector machines, J. Amer. Statist. Assoc. 102(479) (2007), pp. 974-983.
-
(2007)
J. Amer. Statist. Assoc.
, vol.102
, Issue.479
, pp. 974-983
-
-
Wu, Y.1
Liu, Y.2
-
30
-
-
0037686659
-
The concave-convex procedure
-
A.L.Yuille and A. Rangarajan, The concave-convex procedure, Neural Comput. 15(4) (2003), pp. 915-936.
-
(2003)
Neural Comput
, vol.15
, Issue.4
, pp. 915-936
-
-
Yuille, A.L.1
Rangarajan, A.2
-
31
-
-
69049086702
-
Some sharp performance bounds for least squares regression with l1 regularization
-
T. Zhang, Some sharp performance bounds for least squares regression with l1 regularization, Ann. Statist. 37(5A) (2009), pp. 109-2144.
-
(2009)
Ann. Statist.
, vol.37 A
, Issue.5
-
-
Zhang, T.1
-
32
-
-
71149096265
-
On primal and dual sparsity of Markov networks
-
Montreal, Quebec, Canada
-
J. Zhu and E.P. Xing, On primal and dual sparsity of Markov networks, in International Conference on Machine Learning, Montreal, Quebec, Canada, 2009.
-
(2009)
International Conference on Machine Learning
-
-
Zhu, J.1
Xing, E.P.2
-
33
-
-
84899024917
-
1-Norm support vector machines
-
J. Zhu, S. Rosset, T. Hastie, and R. Tibshirani, 1-Norm support vector machines, in Neural Information Processing Systems, 2004.
-
(2004)
Neural Information Processing Systems
-
-
Zhu, J.1
Rosset, S.2
Hastie, T.3
Tibshirani, R.4
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