-
1
-
-
1242331293
-
Bayesian support vector regression using a unified loss function
-
Jan
-
W. Chu, S. S. Keerthi, and C. J. Ong, "Bayesian support vector regression using a unified loss function," IEEE Trans. Neural Netw. vol. 15, no. 1, pp. 29-44, Jan. 2004.
-
(2004)
IEEE Trans. Neural Netw
, vol.15
, Issue.1
, pp. 29-44
-
-
Chu, W.1
Keerthi, S.S.2
Ong, C.J.3
-
3
-
-
19944407892
-
c-SSVR: A smooth support vector machine for ∈-insensitive regression
-
May
-
Y-J. Lee, W.-F. Hsieh, and C.-M. Huang, "c-SSVR: A smooth support vector machine for ∈-insensitive regression," IEEE Trans. Knowl. Data Eng., vol. 17, no. 5, pp. 678-685, May 2005.
-
(2005)
IEEE Trans. Knowl. Data Eng
, vol.17
, Issue.5
, pp. 678-685
-
-
Lee, Y.-J.1
Hsieh, W.-F.2
Huang, C.-M.3
-
4
-
-
0034266838
-
Robust linear and support vector regression
-
Sep
-
O. L. Mangasarian and D. R. Musicant, "Robust linear and support vector regression," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 9, pp. 950-955, Sep. 2000.
-
(2000)
IEEE Trans. Pattern Anal. Mach. Intell
, vol.22
, Issue.9
, pp. 950-955
-
-
Mangasarian, O.L.1
Musicant, D.R.2
-
6
-
-
0003157339
-
Robust estimation of a location parameter
-
P. J. Huber, "Robust estimation of a location parameter," Ann. Math. Stat., vol. 35, no. 1, pp. 73-101, 1964.
-
(1964)
Ann. Math. Stat
, vol.35
, Issue.1
, pp. 73-101
-
-
Huber, P.J.1
-
7
-
-
0034419669
-
Regularization networks and support vector machines
-
Apr
-
T. Evgeniou, M. Pontil, and T. Poggio, "Regularization networks and support vector machines," Adv. Comput. Math., vol. 13, no. 1, pp. 1-50, Apr. 2000.
-
(2000)
Adv. Comput. Math
, vol.13
, Issue.1
, pp. 1-50
-
-
Evgeniou, T.1
Pontil, M.2
Poggio, T.3
-
9
-
-
0242288917
-
-
Comput. Sci. Dept, Univ. Wisconsin, Madison, WI, Tech. Rep. 98-14
-
O. Mangasarian, "Generalized support vector machines," Comput. Sci. Dept., Univ. Wisconsin, Madison, WI, Tech. Rep. 98-14, 1998.
-
(1998)
Generalized support vector machines
-
-
Mangasarian, O.1
-
10
-
-
4043137356
-
A tutorial on support vector regression
-
Aug
-
A. Smola and B. Schölkopf, "A tutorial on support vector regression," Stat. Comput., vol. 14, no. 3, pp. 199-222, Aug. 2004.
-
(2004)
Stat. Comput
, vol.14
, Issue.3
, pp. 199-222
-
-
Smola, A.1
Schölkopf, B.2
-
11
-
-
0003120218
-
Fast training of support vector machines using sequential minimal optimization
-
Cambridge, MA: MIT Press
-
J. C. Platt, "Fast training of support vector machines using sequential minimal optimization," in Advances in Kernel Methods: Support Vector Learning. Cambridge, MA: MIT Press, 1999, pp. 185-208.
-
(1999)
Advances in Kernel Methods: Support Vector Learning
, pp. 185-208
-
-
Platt, J.C.1
-
12
-
-
33745789043
-
Building support vector machines with reduced classifier complexity
-
Dec
-
S. Keerthi, O. Chapelle, and D. DeCoste, "Building support vector machines with reduced classifier complexity," J. Mach. Learn. Res. vol. 7, pp. 1493-1515, Dec. 2006.
-
(2006)
J. Mach. Learn. Res
, vol.7
, pp. 1493-1515
-
-
Keerthi, S.1
Chapelle, O.2
DeCoste, D.3
-
13
-
-
0036817951
-
A finite Newton method for classification
-
Jan
-
O. L. Mangasarian, "A finite Newton method for classification," Optim. Methods Softw., vol. 17, no. 5, pp. 913-929, Jan. 2002.
-
(2002)
Optim. Methods Softw
, vol.17
, Issue.5
, pp. 913-929
-
-
Mangasarian, O.L.1
-
14
-
-
34247849152
-
Training a support vector machine in the primal
-
O. Chapelle, "Training a support vector machine in the primal," Neural. Comput., vol. 19, no. 5, pp. 1155-1178, 2007.
-
(2007)
Neural. Comput
, vol.19
, Issue.5
, pp. 1155-1178
-
-
Chapelle, O.1
-
15
-
-
0000171374
-
The 1972 Wald lecture robust statistics: A review
-
Aug
-
P. J. Huber, "The 1972 Wald lecture robust statistics: A review," Ann. Math. Stat., vol. 43, no. 4, pp. 1041-1067, Aug. 1972.
-
(1972)
Ann. Math. Stat
, vol.43
, Issue.4
, pp. 1041-1067
-
-
Huber, P.J.1
-
16
-
-
0036856978
-
Robust support vector regression networks for function approximation with outliers
-
Nov
-
C.-C. Chuang, S.-F. Su, J.-T. Jeng, and C.-C. Hsiao, "Robust support vector regression networks for function approximation with outliers," IEEE Trans. Neural Netw., vol. 13, no. 6, pp. 1322-1330, Nov. 2002.
-
(2002)
IEEE Trans. Neural Netw
, vol.13
, Issue.6
, pp. 1322-1330
-
-
Chuang, C.-C.1
Su, S.-F.2
Jeng, J.-T.3
Hsiao, C.-C.4
-
17
-
-
33750691986
-
Robust support vector machine training via convex outlier ablation
-
L. Xu, K. Crammer, and D. Schuurmans, "Robust support vector machine training via convex outlier ablation," in Proc. AAAI, 2006, pp. 536-542.
-
(2006)
Proc. AAAI
, pp. 536-542
-
-
Xu, L.1
Crammer, K.2
Schuurmans, D.3
-
18
-
-
35148892734
-
A multi-scale Tikhonov regularization scheme for implicit surface modelling
-
J. Zhu, S. C. Hoi, and M. R. Lyu, "A multi-scale Tikhonov regularization scheme for implicit surface modelling," in Proc. Conf. Comput. Vis. Pattern Recog., 2007, pp. 1-7.
-
(2007)
Proc. Conf. Comput. Vis. Pattern Recog
, pp. 1-7
-
-
Zhu, J.1
Hoi, S.C.2
Lyu, M.R.3
-
19
-
-
84865131152
-
A generalized representer theorem
-
B. Schölkopf, R. Herbrich, and A. Smola, "A generalized representer theorem," in Proc. NeuroCOLT, 2001, pp. 416-426.
-
(2001)
Proc. NeuroCOLT
, pp. 416-426
-
-
Schölkopf, B.1
Herbrich, R.2
Smola, A.3
-
20
-
-
0002619965
-
Ridge regression learning algorithm in dual variables
-
C. Saunders, A. Gammerman, and V. Vovk, "Ridge regression learning algorithm in dual variables," in Proc. ICML, 1998, pp. 515-521.
-
(1998)
Proc. ICML
, pp. 515-521
-
-
Saunders, C.1
Gammerman, A.2
Vovk, V.3
-
22
-
-
0003611509
-
Bayesian learning for neural networks,
-
Ph.D. dissertation, Dept. Comput. Sci, Univ. Toronto, Toronto, ON, Canada
-
R. M. Neal, "Bayesian learning for neural networks," Ph.D. dissertation, Dept. Comput. Sci., Univ. Toronto, Toronto, ON, Canada, 1995.
-
(1995)
-
-
Neal, R.M.1
|