-
1
-
-
0004493166
-
On the approximability of minimizing nonzero variables or unsatisfied relations in linear systems
-
Amaldi E., Kann V. On the approximability of minimizing nonzero variables or unsatisfied relations in linear systems. Theor. Comput. Sci. 1998, 209:237-260.
-
(1998)
Theor. Comput. Sci.
, vol.209
, pp. 237-260
-
-
Amaldi, E.1
Kann, V.2
-
2
-
-
84898958346
-
-
Proceedings of the Conference on Advances in Neural Information Processing Systems II, Cambridge, MA, USA
-
Kristin P. Bennett Ayhan Demiriz, Semi-supervised support vector machines, in: Proceedings of the Conference on Advances in Neural Information Processing Systems II, Cambridge, MA, USA, 1999, pp. 368-374.
-
(1999)
Semi-supervised support vector machines
, pp. 368-374
-
-
Bennett Ayhan Demiriz, K.P.1
-
3
-
-
65649091267
-
-
Proceeding of ICML'98, SF, CA, USA
-
P.S. Bradley, O.L. Mangasarian, Feature selection via concave minimization and support vector machines, in: Proceeding of ICML'98, SF, CA, USA, 1998, pp. 82-90.
-
(1998)
Feature selection via concave minimization and support vector machines
, pp. 82-90
-
-
Bradley, P.S.1
Mangasarian, O.L.2
-
4
-
-
84898975526
-
-
Advances in Neural Information Proceeding Systems 16, MIT Press
-
T.D. Bie, N. Cristianini, Convex methods for transduction, in: Advances in Neural Information Proceeding Systems 16, MIT Press, 2004, p. 73.
-
(2004)
Convex methods for transduction
, pp. 73
-
-
Bie, T.D.1
Cristianini, N.2
-
5
-
-
51949086172
-
-
Proceedings of the 10th International Workshop on Artificial Intelligence and Statistics, Barbados
-
O. Chapelle, A. Zien, Semi-supervised classification by low density separation, in: Proceedings of the 10th International Workshop on Artificial Intelligence and Statistics, Barbados, 2005, pp. 57-64.
-
(2005)
Semi-supervised classification by low density separation
, pp. 57-64
-
-
Chapelle, O.1
Zien, A.2
-
6
-
-
84864069202
-
-
Advances in Neural Information Processing Systems, MIT Press, Cambridge
-
O. Chapelle, V. Sindhwani, S. Keerthi, Branch and bound for semi-supervised support vector machines, in: Advances in Neural Information Processing Systems, MIT Press, Cambridge vol. 17, 2006, pp. 217-224.
-
(2006)
Branch and bound for semi-supervised support vector machines
, vol.17
, pp. 217-224
-
-
Chapelle, O.1
Sindhwani, V.2
Keerthi, S.3
-
7
-
-
41549144249
-
Optimization techniques for semi-supervised support vector machines
-
Chapelle O., Sindhwani V., Keerthi S.S. Optimization techniques for semi-supervised support vector machines. J. Mach. Learn. Res. 2008, 9:203-233.
-
(2008)
J. Mach. Learn. Res.
, vol.9
, pp. 203-233
-
-
Chapelle, O.1
Sindhwani, V.2
Keerthi, S.S.3
-
8
-
-
77957948033
-
A sparse large margin semi-supervised learning method
-
Choi H., Kim J., Kim Y. A sparse large margin semi-supervised learning method. J. Korean Stat. Soc. 2010, 39(4):479.
-
(2010)
J. Korean Stat. Soc.
, vol.39
, Issue.4
, pp. 479
-
-
Choi, H.1
Kim, J.2
Kim, Y.3
-
9
-
-
33747128180
-
Large scale transductive SVMs
-
Collobert R., Sinz F., Weston J., Bottou L. Large scale transductive SVMs. J. Mach. Learn. 2006, 7:1687-1712.
-
(2006)
J. Mach. Learn.
, vol.7
, pp. 1687-1712
-
-
Collobert, R.1
Sinz, F.2
Weston, J.3
Bottou, L.4
-
10
-
-
49549086369
-
-
Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007)
-
W. Emara, M.K.M. Karnstedt, K. Sattler, D. Habich, W. Lehner, An approach for incremental semi-supervised SVM, in: Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007), 2007, pp. 539-544.
-
(2007)
An approach for incremental semi-supervised SVM
, pp. 539-544
-
-
Emara, W.1
Karnstedt, M.K.M.2
Sattler, K.3
Habich, D.4
Lehner, W.5
-
11
-
-
1542784498
-
Variable selection via nonconcave penalized likelihood and its Oracle Properties
-
Fan J., Li R. Variable selection via nonconcave penalized likelihood and its Oracle Properties. J. Am. Stat. Assoc. 2001, 96:1348-1360.
-
(2001)
J. Am. Stat. Assoc.
, vol.96
, pp. 1348-1360
-
-
Fan, J.1
Li, R.2
-
12
-
-
0036454664
-
Semi-supervised support vector machines for unlabeled data classification
-
Fung G., Mangasarian O. Semi-supervised support vector machines for unlabeled data classification. Optim. Methods Softw. 2001, 15:29.
-
(2001)
Optim. Methods Softw.
, vol.15
, pp. 29
-
-
Fung, G.1
Mangasarian, O.2
-
13
-
-
84862194001
-
-
Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM)
-
F. Gieseke, A. Airola, T. Pahikkala, O. Kramer, Sparse Quasi-Newton optimization for semi-supervised support vector machines, in: Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM), 2012, pp. 45-54.
-
(2012)
Sparse Quasi-Newton optimization for semi-supervised support vector machines
, pp. 45-54
-
-
Gieseke, F.1
Airola, A.2
Pahikkala, T.3
Kramer, O.4
-
15
-
-
0001938951
-
-
16th International Conference on Machine Learning, SF, USA
-
T. Joachims, Transductive inference for text classification using support vector machines, in: 16th International Conference on Machine Learning, SF, USA, 1999, pp. 200-209.
-
(1999)
Transductive inference for text classification using support vector machines
, pp. 200-209
-
-
Joachims, T.1
-
16
-
-
0034850512
-
-
Proceedings of 8th International Conference on Computer Vision
-
B. Heisele, P. Ho, T. Poggio, Face recognition with support vector machines: global versus Component-based approach, in: Proceedings of 8th International Conference on Computer Vision, 2001, pp. 688-694.
-
(2001)
Face recognition with support vector machines: global versus Component-based approach
, pp. 688-694
-
-
Heisele, B.1
Ho, P.2
Poggio, T.3
-
17
-
-
34147095576
-
-
Proceedings 15th International Conference on Pattern Recognition
-
L. Hermes, J.M. Buhmann, Feature selection for support vector machines, in: Proceedings 15th International Conference on Pattern Recognition, vol. 2, 2000, pp. 712-715.
-
(2000)
Feature selection for support vector machines
, vol.2
, pp. 712-715
-
-
Hermes, L.1
Buhmann, J.M.2
-
19
-
-
33846114377
-
The adaptive lasso and its oracle properties
-
Hui Z. The adaptive lasso and its oracle properties. J. Am. Stat. Assoc. 2006, 101(476):1418-1429.
-
(2006)
J. Am. Stat. Assoc.
, vol.101
, Issue.476
, pp. 1418-1429
-
-
Hui, Z.1
-
20
-
-
38049103960
-
-
Proceeding of ICML '04, NY, USA
-
N. Krause, Y. Singer, Leveraging the margin more carefully, in: Proceeding of ICML '04, NY, USA, 2004, pp. 63-71.
-
(2004)
Leveraging the margin more carefully
, pp. 63-71
-
-
Krause, N.1
Singer, Y.2
-
22
-
-
84881237697
-
-
Petra Perner (Ed.), Lecture Notes in Computer Science
-
H.M. Le, H.A. Le Thi, M.C. Nguyen, DCA based algorithms for feature selection in semi-supervised support vector machines. Machine learning and data mining in pattern recognition, in: Petra Perner (Ed.), Lecture Notes in Computer Science, vol. 7988, 2013, pp. 528-542.
-
(2013)
DCA based algorithms for feature selection in semi-supervised support vector machines. Machine learning and data mining in pattern recognition
, vol.7988
, pp. 528-542
-
-
Le, H.M.1
Le Thi, H.A.2
Nguyen, M.C.3
-
25
-
-
0001445010
-
Solving a class of linearly constrained indefinite quadratic problems by DC algorithms
-
Le Thi H.A., Pham Dinh T. Solving a class of linearly constrained indefinite quadratic problems by DC algorithms. J. Glob. Optim. 1997, 11(3):253-285.
-
(1997)
J. Glob. Optim.
, vol.11
, Issue.3
, pp. 253-285
-
-
Le Thi, H.A.1
Pham Dinh, T.2
-
26
-
-
15244346000
-
The DC (difference of convex functions) programming and DCA revisited with DC models of real world nonconvex optimization problems
-
Le Thi H.A., Pham Dinh T. The DC (difference of convex functions) programming and DCA revisited with DC models of real world nonconvex optimization problems. Ann. Oper. Res. 2005, 133:23-46.
-
(2005)
Ann. Oper. Res.
, vol.133
, pp. 23-46
-
-
Le Thi, H.A.1
Pham Dinh, T.2
-
27
-
-
33847251003
-
A new efficient algorithm based on DC programming and DCA for clustering
-
Le Thi H.A., Belghiti T., Pham Dinh T. A new efficient algorithm based on DC programming and DCA for clustering. J. Glob. Optim. 2006, 37:593-608.
-
(2006)
J. Glob. Optim.
, vol.37
, pp. 593-608
-
-
Le Thi, H.A.1
Belghiti, T.2
Pham Dinh, T.3
-
28
-
-
34447102036
-
Optimization based DC programming and DCA for hierarchical clustering
-
Le Thi H.A., Le Hoai M., Pham Dinh T. Optimization based DC programming and DCA for hierarchical clustering. Eur. J. Oper. Res. 2007, 183:1067-1085.
-
(2007)
Eur. J. Oper. Res.
, vol.183
, pp. 1067-1085
-
-
Le Thi, H.A.1
Le Hoai, M.2
Pham Dinh, T.3
-
29
-
-
57849147343
-
A DC programming approach for feature selection in support vector machines learning
-
Le Thi H.A., Le Hoai M., Nguyen N.V., Pham Dinh T. A DC programming approach for feature selection in support vector machines learning. J. Adv. Data Anal. Classif. 2008, 2(3):259-278.
-
(2008)
J. Adv. Data Anal. Classif.
, vol.2
, Issue.3
, pp. 259-278
-
-
Le Thi, H.A.1
Le Hoai, M.2
Nguyen, N.V.3
Pham Dinh, T.4
-
32
-
-
84930477721
-
-
Research Report LITA EA 3097, University of Lorraine, France
-
H.A. Le Thi, A New Approximation for the ℓ0-norm, Research Report LITA EA 3097, University of Lorraine, France, 2012.
-
(2012)
A New Approximation for the ℓ0-norm
-
-
Le Thi, H.A.1
-
33
-
-
84942368519
-
Feature selection in machine learning: an exact penalty approach using a difference of convex function algorithm
-
published online 04 Jul
-
H.A. Le Thi , M. Le Hoai, T. Pham Dinh, Feature selection in machine learning: an exact penalty approach using a difference of convex function algorithm, Mach. Learn., published online 04 Jul, 2014,. doi:10.1007/s10994-014-5455-y.
-
(2014)
Mach. Learn
-
-
Le Thi, H.A.1
Le Hoai, M.2
Pham Dinh, T.3
-
34
-
-
84904859974
-
Feature selection for linear SVMs under uncertain data. robust optimization based on difference of convex functions algorithms
-
Le Thi H.A., Vo X.T., Pham Dinh T. Feature selection for linear SVMs under uncertain data. robust optimization based on difference of convex functions algorithms. Neural Netw. 2014, 59:36-50.
-
(2014)
Neural Netw.
, vol.59
, pp. 36-50
-
-
Le Thi, H.A.1
Vo, X.T.2
Pham Dinh, T.3
-
35
-
-
84906779671
-
Self-organizing maps by difference of convex functions optimization
-
Le Thi H.A., Nguyen M.C. Self-organizing maps by difference of convex functions optimization. Data Min. Knowl. Discov. 2014, 28(5-6):1336-1365.
-
(2014)
Data Min. Knowl. Discov.
, vol.28
, Issue.5-6
, pp. 1336-1365
-
-
Le Thi, H.A.1
Nguyen, M.C.2
-
36
-
-
84961296753
-
-
DC Programming and DCA.
-
H.A. Le Thi, DC Programming and DCA. http://lita.sciences.univ-metz.fr/~lethi.
-
-
-
Le Thi, H.A.1
-
37
-
-
71149093081
-
-
Proceedings of the 26th International Conference on Machine Learning, Montreal, Canada
-
Y.F. Li, J.T. Kwok, Z.H. Zhou, Semi-supervised learning using label Mean, in: Proceedings of the 26th International Conference on Machine Learning, Montreal, Canada, 2009, pp. 1-8.
-
(2009)
Semi-supervised learning using label Mean
, pp. 1-8
-
-
Li, Y.F.1
Kwok, J.T.2
Zhou, Z.H.3
-
38
-
-
15944365213
-
Multicategory ψ-learning and support vector machine. computational tools
-
Liu Y., Shen X., Doss H. Multicategory ψ-learning and support vector machine. computational tools. J. Comput. Graph. Stat. 2005, 14:219-236.
-
(2005)
J. Comput. Graph. Stat.
, vol.14
, pp. 219-236
-
-
Liu, Y.1
Shen, X.2
Doss, H.3
-
40
-
-
30044438683
-
Combined SVM-based feature selection and classification
-
Neumann J., Schnörr C., Steidl G. Combined SVM-based feature selection and classification. Mach. Learn. 2005, 61(1-3):129-150.
-
(2005)
Mach. Learn.
, vol.61
, Issue.1-3
, pp. 129-150
-
-
Neumann, J.1
Schnörr, C.2
Steidl, G.3
-
41
-
-
0030673582
-
-
Proceedings of Computer Vision and Pattern Recognition
-
E. Osuna, R. Freund, F. Girosi, Training support vector machines: an application to face detection, in: Proceedings of Computer Vision and Pattern Recognition, 1997, pp. 130-136.
-
(1997)
Training support vector machines: an application to face detection
, pp. 130-136
-
-
Osuna, E.1
Freund, R.2
Girosi, F.3
-
42
-
-
0000939953
-
Convex analysis approach to d.c. programming. theory, algorithm and applications
-
Pham Dinh T., Le Thi H.A. Convex analysis approach to d.c. programming. theory, algorithm and applications. Acta Math. Vietnam. 1997, 22:289-355.
-
(1997)
Acta Math. Vietnam.
, vol.22
, pp. 289-355
-
-
Pham Dinh, T.1
Le Thi, H.A.2
-
43
-
-
84943566415
-
-
Lecture Notes in Computer Science
-
T. Pham Dinh, H.A. Le Thi, Recent advances on DC programming and DCA. Transactions on computational intelligence XIII, in: Lecture Notes in Computer Science, vol. 8342, 2014, pp. 1-37.
-
(2014)
Recent advances on DC programming and DCA. Transactions on computational intelligence XIII
, vol.8342
, pp. 1-37
-
-
Pham Dinh, T.1
Le Thi, H.A.2
-
44
-
-
78149282159
-
An efficient combination of DCA and B&B using DC/SDP relaxation for globally solving binary quadratic programs
-
Pham Dinh T., Nguyen Canh N., Le Thi H.A. An efficient combination of DCA and B&B using DC/SDP relaxation for globally solving binary quadratic programs. J. Glob. Optim. 2010, 48(4):595-632.
-
(2010)
J. Glob. Optim.
, vol.48
, Issue.4
, pp. 595-632
-
-
Pham Dinh, T.1
Nguyen Canh, N.2
Le Thi, H.A.3
-
45
-
-
35248871506
-
A bilinear formulation for vector sparsity optimization
-
Peleg D., Meir R. A bilinear formulation for vector sparsity optimization. Signal Process. 2008, 8(2):375-389.
-
(2008)
Signal Process.
, vol.8
, Issue.2
, pp. 375-389
-
-
Peleg, D.1
Meir, R.2
-
46
-
-
84880232279
-
Learning sparse classifiers with difference of convex functions algorithms
-
Ong C.S., Le Thi H.A. Learning sparse classifiers with difference of convex functions algorithms. Optim. Methods Softw. 2013, 28:4.
-
(2013)
Optim. Methods Softw.
, vol.28
, pp. 4
-
-
Ong, C.S.1
Le Thi, H.A.2
-
47
-
-
84893553584
-
Cost-Sensitive support vector machine for semi-supervised learning
-
Qi Tian Y., Shi Y., Yu X. Cost-Sensitive support vector machine for semi-supervised learning. Proc. Comput. Sci. 2013, 18:1684-1689.
-
(2013)
Proc. Comput. Sci.
, vol.18
, pp. 1684-1689
-
-
Qi, T.Y.1
Shi, Y.2
Yu, X.3
-
48
-
-
84879922284
-
-
"Modelling, Computation and Optimization in Information Systems and Management Sciences", Communications in Computer and Information Science CCIS, Springer
-
M. Thiao, T. Pham Dinh, H.A. Le Thi, DC programming approach for a class of nonconvex programs involving l0 norm, in: "Modelling, Computation and Optimization in Information Systems and Management Sciences", Communications in Computer and Information Science CCIS, vol. 14, Springer, 2008, pp. 358-367.
-
(2008)
DC programming approach for a class of nonconvex programs involving l0 norm
, vol.14
, pp. 358-367
-
-
Thiao, M.1
Pham Dinh, T.2
Le Thi, H.A.3
-
49
-
-
84890447445
-
Variable selection using SVM-based criteria
-
Rakotomamonjy A. Variable selection using SVM-based criteria. J. Mach. Learn. Res. 2003, 3:1357-1370.
-
(2003)
J. Mach. Learn. Res.
, vol.3
, pp. 1357-1370
-
-
Rakotomamonjy, A.1
-
50
-
-
33747105621
-
-
Proceedings of the 23rd International Conference on Machine Learning ICML 2006, Pittsburgh, Pennsylvania
-
C. Ronan, S. Fabian, W. Jason, B. Lé, Trading Convexity for Scalability, in: Proceedings of the 23rd International Conference on Machine Learning ICML 2006, Pittsburgh, Pennsylvania, 2006, pp. 201-208.
-
(2006)
Trading Convexity for Scalability
, pp. 201-208
-
-
Ronan, C.1
Fabian, S.2
Jason, W.3
Lé, B.4
-
51
-
-
38049052393
-
-
Proceeding ICNC '07, Third International Conference on Natural Computation-Cover
-
L. Yang, L.Wang, Simultaneous feature selection and classification via semi-supervised models, in: Proceeding ICNC '07, Third International Conference on Natural Computation-Cover, 2007, pp. 646-650.
-
(2007)
Simultaneous feature selection and classification via semi-supervised models
, pp. 646-650
-
-
Yang, L.1
Wang, L.2
-
52
-
-
84961308018
-
-
M. Saquib Sarfraz, O. Hellwich, Z. Riaz, Feature extraction and representation for face recognition, Face Recognit. ISBN 978-953-307-060-5, 2010, 1-21.
-
(2010)
Feature extraction and representation for face recognition, Face Recognit
, pp. 1-21
-
-
Saquib Sarfraz, M.1
Hellwich, O.2
Riaz, Z.3
-
53
-
-
34250761401
-
-
Proceedings of ICML'06, NY, USA
-
V. Sindhwani, S. Keerthi, O. Chapelle, Deterministic annealing for semi-supervised kernel machines, in: Proceedings of ICML'06, NY, USA, 2006, pp. 841-848.
-
(2006)
Deterministic annealing for semi-supervised kernel machines
, pp. 841-848
-
-
Sindhwani, V.1
Keerthi, S.2
Chapelle, O.3
-
54
-
-
33750373672
-
-
Proceeding SIGIR '06 Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
-
V. Sindhwani, S. Keerthi, Large scale semi-supervised linear SVMs, in: Proceeding SIGIR '06 Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006, pp. 477-484.
-
(2006)
Large scale semi-supervised linear SVMs
, pp. 477-484
-
-
Sindhwani, V.1
Keerthi, S.2
-
55
-
-
0001287271
-
Regression shrinkage and selection via the lasso
-
Tibshirani R. Regression shrinkage and selection via the lasso. J. R. Stat. Soc. 1996, 46:431-439.
-
(1996)
J. R. Stat. Soc.
, vol.46
, pp. 431-439
-
-
Tibshirani, R.1
-
57
-
-
33749253228
-
On structural risk minimization or overall risk in a problem of pattern recognition
-
Vapnik V., Sterin A. On structural risk minimization or overall risk in a problem of pattern recognition. Autom. Remote Control 1977, 10(3):1495-1503.
-
(1977)
Autom. Remote Control
, vol.10
, Issue.3
, pp. 1495-1503
-
-
Vapnik, V.1
Sterin, A.2
-
58
-
-
79958159616
-
-
Technical Report, Number MSR-TR-2010-66, Microsoft Research
-
C. Zhang, Z. Zhang, A Survey of Recent Advances in Face Detection, Technical Report, Number MSR-TR-2010-66, Microsoft Research, 2010.
-
(2010)
A Survey of Recent Advances in Face Detection
-
-
Zhang, C.1
Zhang, Z.2
-
59
-
-
84856051408
-
Semi-supervised learning for classification with uncertainty
-
Zhang R., Liu T.B., Zheng M.W. Semi-supervised learning for classification with uncertainty. Adv. Mater. Res. 2012, 433-440:3584-3590.
-
(2012)
Adv. Mater. Res.
, pp. 3584-3590
-
-
Zhang, R.1
Liu, T.B.2
Zheng, M.W.3
-
60
-
-
33846114377
-
The adaptive lasso and its oracle properties
-
Zou H. The adaptive lasso and its oracle properties. J. Am. Stat. Ass. 2006, 101:1418-1429.
-
(2006)
J. Am. Stat. Ass.
, vol.101
, pp. 1418-1429
-
-
Zou, H.1
-
62
-
-
34547164089
-
Robust regression shrinkage and consistent variable selection via the LAD-LASSO
-
Wang H., Li G., Jiang G. Robust regression shrinkage and consistent variable selection via the LAD-LASSO. J. Bus. Econ. Stat. 2007, 25(3):347-355.
-
(2007)
J. Bus. Econ. Stat.
, vol.25
, Issue.3
, pp. 347-355
-
-
Wang, H.1
Li, G.2
Jiang, G.3
-
63
-
-
84890520049
-
Use of the zero-norm with linear models and kernel methods
-
Weston J., Elisseeff A., Scholkopf B., Tipping M. Use of the zero-norm with linear models and kernel methods. J. Mach. Learn. Res. 2003, 3:1439-1461.
-
(2003)
J. Mach. Learn. Res.
, vol.3
, pp. 1439-1461
-
-
Weston, J.1
Elisseeff, A.2
Scholkopf, B.3
Tipping, M.4
|