-
1
-
-
0026966646
-
A training algorithm for optimal margin classifiers
-
B. E. Boser, I. Guyon, and V. Vapnik. A training algorithm for optimal margin classifiers. In COLT, 1992.
-
(1992)
In COLT
-
-
Boser, B.E.1
Guyon, I.2
Vapnik, V.3
-
3
-
-
80052866161
-
Incremental and decremental support vector machine learning
-
G. Cauwenberghs and T. Poggio. Incremental and decremental support vector machine learning. In NIPS. 2001.
-
NIPS. 2001
-
-
Cauwenberghs, G.1
Poggio, T.2
-
4
-
-
79955702502
-
LIBSVM: A library for support vector machines
-
C.-C. Chang and C.-J. Lin. LIBSVM: A library for support vector machines. ACM TIST, 2:27:1-27:27, 2011.
-
(2011)
ACM TIST
, vol.2
-
-
Chang, C.-C.1
Lin, C.-J.2
-
5
-
-
48849104146
-
Coordinate descent method for large-scale L2-loss linear SVM
-
K.-W. Chang, C.-J. Hsieh, and C.-J. Lin. Coordinate descent method for large-scale L2-loss linear SVM. JMLR, 9:1369-1398, 2008.
-
(2008)
JMLR
, vol.9
, pp. 1369-1398
-
-
Chang, K.-W.1
Hsieh, C.-J.2
Lin, C.-J.3
-
6
-
-
34247849152
-
Training a support vector machine in the primal
-
O. Chapelle. Training a support vector machine in the primal. Neural Comput., 19:1155-1178, 2007.
-
(2007)
Neural Comput
, vol.19
, pp. 1155-1178
-
-
Chapelle, O.1
-
7
-
-
34249753618
-
Support-vector network
-
C. Cortes and V. Vapnik. Support-vector network. MLJ, 20:273-297, 1995.
-
(1995)
MLJ
, vol.20
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
8
-
-
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. JMLR, 9:1871-1874, 2008.
-
(2008)
JMLR
, 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
-
9
-
-
0141535194
-
Incremental learning and selective sampling via parametric optimization framework for SVM
-
S. Fine and K. Scheinberg. Incremental learning and selective sampling via parametric optimization framework for SVM. In NIPS. 2001.
-
NIPS. 2001
-
-
Fine, S.1
Scheinberg, K.2
-
10
-
-
56449086680
-
A dual coordinate descent method for large-scale linear SVM
-
C.-J. Hsieh, K.-W. Chang, C.-J. Lin, S. S. Keerthi, and S. Sundararajan. A dual coordinate descent method for large-scale linear SVM. In ICML, 2008.
-
ICML, 2008
-
-
Hsieh, C.-J.1
Chang, K.-W.2
Lin, C.-J.3
Keerthi, S.S.4
Sundararajan, S.5
-
11
-
-
77954563782
-
Multiple incremental decremental learning of support vector machines
-
M. Karasuyama and I. Takeuchi. Multiple incremental decremental learning of support vector machines. IEEE TNN, 21:1048-1059, 2010.
-
(2010)
IEEE TNN
, vol.21
, pp. 1048-1059
-
-
Karasuyama, M.1
Takeuchi, I.2
-
12
-
-
0000406385
-
A correspondence between Bayesian estimation on stochastic processes and smoothing by splines
-
G. S. Kimeldorf and G. Wahba. A correspondence between Bayesian estimation on stochastic processes and smoothing by splines. Ann. Math. Stat., 41:495-502, 1970.
-
(1970)
Ann. Math. Stat.
, vol.41
, pp. 495-502
-
-
Kimeldorf, G.S.1
Wahba, G.2
-
13
-
-
33745777639
-
Incremental support vector learning: Analysis, implementation and applications
-
P. Laskov, C. Gehl, S. Krüger, and K.-R. Müller. Incremental support vector learning: Analysis, implementation and applications. JMLR, 7:1909-1936, 2006.
-
(2006)
JMLR
, vol.7
, pp. 1909-1936
-
-
Laskov, P.1
Gehl, C.2
Krüger, S.3
Müller, K.-R.4
-
14
-
-
67349086151
-
Incremental support vector machine learning in the primal and applications
-
Z. Liang and Y. Li. Incremental support vector machine learning in the primal and applications. Neurocomputing, 72(10):2249-2258, 2009.
-
(2009)
Neurocomputing
, vol.72
, Issue.10
, pp. 2249-2258
-
-
Liang, Z.1
Li, Y.2
-
15
-
-
44649088319
-
Trust region Newton method for large-scale logistic regression
-
C.-J. Lin, R. C. Weng, and S. S. Keerthi. Trust region Newton method for large-scale logistic regression. JMLR, 9:627-650, 2008.
-
(2008)
JMLR
, vol.9
, pp. 627-650
-
-
Lin, C.-J.1
Weng, R.C.2
Keerthi, S.S.3
-
16
-
-
13844281522
-
Incremental training of support vector machines
-
A. Shilton, M. Palaniswami, D. Ralph, and A. C. Tsoi. Incremental training of support vector machines. IEEE TNN, 16:114-131, 2005.
-
(2005)
IEEE TNN
, vol.16
, pp. 114-131
-
-
Shilton, A.1
Palaniswami, M.2
Ralph, D.3
Tsoi, A.C.4
-
17
-
-
84901632905
-
Iteration complexity of feasible descent methods for convex optimization
-
P.-W. Wang and C.-J. Lin. Iteration complexity of feasible descent methods for convex optimization. JMLR, 2014.
-
JMLR, 2014
-
-
Wang, P.-W.1
Lin, C.-J.2
-
18
-
-
80052660676
-
Dual coordinate descent methods for logistic regression and maximum entropy models
-
H.-F. Yu, F.-L. Huang, and C.-J. Lin. Dual coordinate descent methods for logistic regression and maximum entropy models. MLJ, 85:41-75, 2011.
-
(2011)
MLJ
, vol.85
, pp. 41-75
-
-
Yu, H.-F.1
Huang, F.-L.2
Lin, C.-J.3
-
19
-
-
84865422696
-
Recent advances of large-scale linear classification
-
G.-X. Yuan, C.-H. Ho, and C.-J. Lin. Recent advances of large-scale linear classification. PIEEE, 100:2584-2603, 2012.
-
(2012)
PIEEE
, vol.100
, pp. 2584-2603
-
-
Yuan, G.-X.1
Ho, C.-H.2
Lin, C.-J.3
|