-
2
-
-
26944496310
-
Support vector classification with input data uncertainty
-
J. Bi and T. Zhang, "Support vector classification with input data uncertainty," in Proc. NIPS, 2004, pp. 161-168.
-
(2004)
Proc. NIPS
, pp. 161-168
-
-
Bi, J.1
Zhang, T.2
-
3
-
-
0003372320
-
Discovering informative patterns and data cleaning
-
Menlo Park, CA, USA: AAAI Press
-
I. Guyon, N. Matic, and V. Vapnik, "Discovering informative patterns and data cleaning," in Advances in Knowledge Discovery and Data Mining, Menlo Park, CA, USA: AAAI Press, 1996, pp. 181-203.
-
(1996)
Advances in Knowledge Discovery and Data Mining
, pp. 181-203
-
-
Guyon, I.1
Matic, N.2
Vapnik, V.3
-
4
-
-
0033350716
-
Adaptive Margin Support Vector Machines for classification
-
R. Herbrich and J. Weston, "Adaptive margin support vector machines for classification," in Proc. 9th Int. Conf. Artificial Neural Networks, vol. 2. Edinburgh, U.K., 1999, pp. 880-885. (Pubitemid 30519880)
-
(1999)
IEE Conference Publication
, vol.2
, Issue.470
, pp. 880-885
-
-
Herbrich Ralf1
Weston Jason2
-
5
-
-
0036881508
-
Robust support vector machine with bullet hole image classification
-
Nov.
-
Q. Song, W. Hu, and W. Xie, "Robust support vector machine with bullet hole image classification," IEEE Trans. Syst., Man, Cybern. C, Appl. Rev., vol. 32, no. 4, pp. 440-448, Nov. 2002.
-
(2002)
IEEE Trans. Syst., Man, Cybern. C, Appl. Rev.
, vol.32
, Issue.4
, pp. 440-448
-
-
Song, Q.1
Hu, W.2
Xie, W.3
-
6
-
-
2942628013
-
An accelerated decomposition algorithm for robust support vector machines
-
May
-
W. Hu and Q. Song, "An accelerated decomposition algorithm for robust support vector machines," IEEE Trans. Circuits Syst. II, vol. 51, no. 5, pp. 234-240, May 2004.
-
(2004)
IEEE Trans. Circuits Syst. II
, vol.51
, Issue.5
, pp. 234-240
-
-
Hu, W.1
Song, Q.2
-
7
-
-
0042967740
-
A robust minimax approach to classification
-
Dec.
-
G. Lanckriet, L. Ghaoui, C. Bhattacharyya, and M. Jordan, "A robust minimax approach to classification," J. Mach. Learn. Res., vol. 3, pp. 555-582, Dec. 2003.
-
(2003)
J. Mach. Learn. Res.
, vol.3
, pp. 555-582
-
-
Lanckriet, G.1
Ghaoui, L.2
Bhattacharyya, C.3
Jordan, M.4
-
8
-
-
33745800909
-
Second order cone programming approaches for handling missing and uncertain data
-
P. Shivaswamy, C. Bhattacharyya, and A. Smola, "Second order cone programming approaches for handling missing and uncertain data," J. Mach. Learn. Res., vol. 7, pp. 1283-1314, Jul. 2006. (Pubitemid 44024599)
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 1283-1314
-
-
Shivaswamy, P.K.1
Bhattacharyya, C.2
Smola, A.J.3
-
9
-
-
68949157380
-
Robustness and regularization of support vector machines
-
Jul.
-
H. Xu, C. Caramanis, and S. Mannor, "Robustness and regularization of support vector machines," J. Mach. Learn. Res., vol. 10, pp. 1485-1510, Jul. 2009.
-
(2009)
J. Mach. Learn. Res.
, vol.10
, pp. 1485-1510
-
-
Xu, H.1
Caramanis, C.2
Mannor, S.3
-
11
-
-
0035441331
-
The generalization error of the symmetric and scaled support vector machines
-
DOI 10.1109/72.950155, PII S1045922701055278
-
J. Feng and P. Williams, "The generalization error of the symmetric and scaled support vector machines," IEEE Trans. Neural Netw., vol. 12, no. 5, pp. 1255-1260, Sep. 2001. (Pubitemid 32981767)
-
(2001)
IEEE Transactions on Neural Networks
, vol.12
, Issue.5
, pp. 1255-1260
-
-
Feng, J.1
Williams, P.2
-
12
-
-
0141794592
-
A role of total margin in support vector machines
-
M. Yoon, Y. Yun, and H. Nakayama, "A role of total margin in support vector machines," in Proc. Int. Joint Conf. Neural Networks, vol. 3. 2003, pp. 2049-2053.
-
(2003)
Proc. Int. Joint Conf. Neural Networks
, vol.3
, pp. 2049-2053
-
-
Yoon, M.1
Yun, Y.2
Nakayama, H.3
-
13
-
-
33750379875
-
Support vector machines with genetic fuzzy feature transformation for biomedical data classification
-
DOI 10.1016/j.ins.2006.03.015, PII S002002550600082X
-
B. Jin, Y. Tang, and Y. Zhang, "Support vector machines with genetic fuzzy feature transformation for biomedical data classification," Inform. Sci., vol. 177, no. 2, pp. 476-489, Jan. 2007. (Pubitemid 44634445)
-
(2007)
Information Sciences
, vol.177
, Issue.2
, pp. 476-489
-
-
Jin, B.1
Tang, Y.C.2
Zhang, Y.-Q.3
-
14
-
-
34250741488
-
Rough set based 1-v-1 and 1-v-r approaches to support vector machine multi-classification
-
DOI 10.1016/j.ins.2007.03.028, PII S0020025507001594
-
P. Lingras and C. Butz, "Rough set based 1-v-1 and 1-v-r approaches to support vector machine multi-classification," Inform. Sci., vol. 177, no. 18, pp. 3782-3798, 2007. (Pubitemid 46961980)
-
(2007)
Information Sciences
, vol.177
, Issue.18
, pp. 3782-3798
-
-
Lingras, P.1
Butz, C.2
-
15
-
-
39749154117
-
A rough margin based support vector machine
-
J. Zhang and Y. Wang, "A rough margin based support vector machine," Inform. Sci., vol. 178, no. 9, pp. 2204-2214, 2008.
-
(2008)
Inform. Sci.
, vol.178
, Issue.9
, pp. 2204-2214
-
-
Zhang, J.1
Wang, Y.2
-
16
-
-
84925105967
-
-
Cambridge, U.K.: Cambridge University Press
-
R. Koenker, Quantile Regression. Cambridge, U.K.: Cambridge University Press, 2005.
-
(2005)
Quantile Regression
-
-
Koenker, R.1
-
17
-
-
84900530374
-
How SVMs can estimate quantiles and the median
-
I. Steinwart and A. Christmann, "How SVMs can estimate quantiles and the median," in Proc. NIPS, 2007, pp. 305-312.
-
(2007)
Proc. NIPS
, pp. 305-312
-
-
Steinwart, I.1
Christmann, A.2
-
18
-
-
79951667862
-
Estimating conditional quantiles with the help of the pinball loss
-
I. Steinwart and A. Christmann, "Estimating conditional quantiles with the help of the pinball loss," Bernoulli, vol. 17, no. 1, pp. 211-225, 2011.
-
(2011)
Bernoulli
, vol.17
, Issue.1
, pp. 211-225
-
-
Steinwart, I.1
Christmann, A.2
-
19
-
-
0037695279
-
-
Singapore: World Scientific
-
J. A. K. Suykens, T. Van Gestel, J. De Brabanter, B. De Moor, and J. Vandewalle, Least Squares Support Vector Machines. Singapore: World Scientific, 2002.
-
(2002)
Least Squares Support Vector Machines
-
-
Suykens, J.A.K.1
Van Gestel, T.2
De Brabanter, J.3
De Moor, B.4
Vandewalle, J.5
-
20
-
-
18244390064
-
On robustness properties of convex risk minimization methods for pattern recognition
-
Aug.
-
A. Christmann and I. Steinwart, "On robustness properties of convex risk minimization methods for pattern recognition," J. Mach. Learn. Res., vol. 5, pp. 1007-1034, Aug. 2004.
-
(2004)
J. Mach. Learn. Res.
, vol.5
, pp. 1007-1034
-
-
Christmann, A.1
Steinwart, I.2
-
23
-
-
84898978212
-
Boosting algorithms as gradient descent in function space
-
L. Mason, J. Baxter, P. Bartlett, and M. Frean, "Boosting algorithms as gradient descent in function space," in Proc. NIPS, 2000, pp. 512-518.
-
(2000)
Proc. NIPS
, pp. 512-518
-
-
Mason, L.1
Baxter, J.2
Bartlett, P.3
Frean, M.4
-
24
-
-
35348869458
-
Robust truncated hinge loss support vector machines
-
Y. Wu and Y. Liu, "Robust truncated hinge loss support vector machines," J. Amer. Statist. Assoc., vol. 102, no. 479, pp. 974-983, 2007.
-
(2007)
J. Amer. Statist. Assoc.
, vol.102
, Issue.479
, pp. 974-983
-
-
Wu, Y.1
Liu, Y.2
-
25
-
-
2342495357
-
A note on margin-based loss functions in classification
-
DOI 10.1016/j.spl.2004.03.002, PII S0167715204000707
-
Y. Lin, "A note on margin-based loss functions in classification," Statist. Probab. Lett., vol. 68, no. 1, pp. 73-82, 2004. (Pubitemid 38597399)
-
(2004)
Statistics and Probability Letters
, vol.68
, Issue.1
, pp. 73-82
-
-
Lin, Y.1
-
26
-
-
33645505792
-
Convexity, classification, and risk bounds
-
DOI 10.1198/016214505000000907
-
P. Bartlett, M. Jordan, and J. McAuliffe, "Convexity, classification, and risk bounds," J. Amer. Statist. Assoc., vol. 101, no. 473, pp. 138-156, 2006. (Pubitemid 43500031)
-
(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
-
27
-
-
70349847835
-
Bregman divergences and surrogates for learning
-
Nov.
-
R. Nock and F. Nielsen, "Bregman divergences and surrogates for learning," IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 11, pp. 2048-2059, Nov. 2009.
-
(2009)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.31
, Issue.11
, pp. 2048-2059
-
-
Nock, R.1
Nielsen, F.2
-
28
-
-
79955815221
-
Information, divergence and risk for binary experiments
-
Mar.
-
M. Reid and R. Williamson, "Information, divergence and risk for binary experiments," J. Mach. Learn. Res., vol. 12, pp. 731-817, Mar. 2011.
-
(2011)
J. Mach. Learn. Res.
, vol.12
, pp. 731-817
-
-
Reid, M.1
Williamson, R.2
-
29
-
-
26944483874
-
Statistical analysis of some multi-category large margin classification methods
-
Oct.
-
T. Zhang, "Statistical analysis of some multi-category large margin classification methods," J. Mach. Learn. Res., vol. 5, pp. 1225-1251, Oct. 2004.
-
(2004)
J. Mach. Learn. Res.
, vol.5
, pp. 1225-1251
-
-
Zhang, T.1
-
31
-
-
0032638628
-
Least squares support vector machine classifiers
-
J. A. K. Suykens and J. Vandewalle, "Least squares support vector machine classifiers," Neural Process. Lett., vol. 9, no. 3, pp. 293-300, 1999.
-
(1999)
Neural Process. Lett.
, vol.9
, Issue.3
, pp. 293-300
-
-
Suykens, J.A.K.1
Vandewalle, J.2
-
32
-
-
0036582564
-
Bayesian framework for least-squares support vector machine classifiers, Gaussian processes, and Kernel fisher discriminant analysis
-
T. Van Gestel et al., "Bayesian framework for least-squares support vector machine classifiers, Gaussian processes, and Kernel fisher discriminant analysis," Neural Comput., vol. 14, no. 5, pp. 1115-1147, 2002.
-
(2002)
Neural Comput.
, vol.14
, Issue.5
, pp. 1115-1147
-
-
Van Gestel, T.1
-
33
-
-
84893547063
-
Fixed-size pegasos for hinge and pinball loss SVM
-
V. Jumutc, X. Huang, and J. A. K. Suykens, "Fixed-size pegasos for hinge and pinball loss SVM," in Proc. Int. Joint Conf. Neural Networks, 2013, pp. 1122-1128.
-
(2013)
Proc. Int. Joint Conf. Neural Networks
, pp. 1122-1128
-
-
Jumutc, V.1
Huang, X.2
Suykens, J.A.K.3
|