-
1
-
-
84966275544
-
Minimization of functions having Lipschitz continuous first partial derivatives
-
L. ARMIJO, Minimization of functions having Lipschitz continuous first partial derivatives, Pacific J. Math., 16 (1966), pp. 1-3.
-
(1966)
Pacific J. Math.
, vol.16
, pp. 1-3
-
-
Armijo, L.1
-
3
-
-
0001531895
-
Two point step size gradient methods
-
J. BARZILAI AND J. M. BORWEIN, Two point step size gradient methods, IMA J. Numer. Anal., 8 (1988), pp. 141-148.
-
(1988)
IMA J. Numer. Anal.
, vol.8
, pp. 141-148
-
-
Barzilai, J.1
Borwein, J.M.2
-
4
-
-
0036794059
-
Large-scale active-set box-constrained optimization method with spectral projected gradients
-
DOI 10.1023/A:1019928808826
-
E. G. BIRGIN AND J. M. MARTÍNEZ, Large-scale active-set box-constrained optimization method with spectral projected gradients, Comput. Optim. Appl., 23 (2002), pp. 101-125. (Pubitemid 35167001)
-
(2002)
Computational Optimization and Applications
, vol.23
, Issue.1
, pp. 101-125
-
-
Birgin, E.G.1
Mario Martinez, J.2
-
5
-
-
0034345420
-
Nonmonotone spectral projected gradient methods for convex sets
-
E. G. BIRGIN, J. M. MARTÍNEZ, AND M. RAYDAN, Nonmonotone spectral projected gradient methods for convex sets, SIAM J. Optim., 10 (2000), pp. 1196-1211.
-
(2000)
SIAM J. Optim.
, vol.10
, pp. 1196-1211
-
-
Birgin, E.G.1
Martínez, J.M.2
Raydan, M.3
-
6
-
-
18044400238
-
Algorithm 813: SPG - Software for Convex-Constrained Optimization
-
DOI 10.1145/502800.502803
-
E. G. BIRGIN, J. M. MARTÍNEZ, AND M. RAYDAN, Algorithm 813: SPG-software for convexconstrained optimization, ACM Trans. Math. Software, 27 (2001), pp. 340-349. (Pubitemid 33654982)
-
(2001)
ACM Transactions on Mathematical Software
, vol.27
, Issue.3
, pp. 340-349
-
-
Birgin, E.G.1
Martinez, J.M.2
Raydan, M.3
-
7
-
-
0142199775
-
Inexact spectral projected gradient methods on convex sets
-
DOI 10.1093/imanum/23.4.539
-
E. G. BIRGIN, J. M. MARTÍNEZ, AND M. RAYDAN, Inexact spectral projected gradient methods on convex sets, IMA J. Numer. Anal., 23 (2003), pp. 539-559. (Pubitemid 37445929)
-
(2003)
IMA Journal of Numerical Analysis
, vol.23
, Issue.4
, pp. 539-559
-
-
Birgin, E.G.1
Martinez, J.M.2
Raydan, M.3
-
8
-
-
84902205493
-
Comparison of View-Based Object Recognition Algorithms Using Realistic 3D Models
-
Artificial Neural Networks - ICANN 96
-
V. BLANZ, B. SCHÖLKOPF, H. BÜLTHOFFAND, C. BURGES, V. N. VAPNIK, AND T. VETTER, Comparison of view-based object recognition algorithms using realistic 3d models, in Artificial Neural Networks, ICIANN '96, Lecture Notes in Comput. Sci. 1112 J. V. C. von der Malsburg, W. von Seelen, and B. Sendhoff, eds., Springer, Berlin, 1996, pp. 251-256. (Pubitemid 126098540)
-
(1996)
LECTURE NOTES IN COMPUTER SCIENCE
, Issue.1112
, pp. 251-256
-
-
Blanz, V.1
Schoelkopf, B.2
Buelthoff, H.3
Burges, C.4
Vapnik, V.5
Vetter, T.6
-
10
-
-
0026966646
-
Training algorithm for optimal margin classifiers
-
B. BOSER, I. GUYON, AND V. VAPNIK, A training algorithm for optimal margin classifier, in Proceedings of the 5th ACM Workshop on Computational Learning Theory, Pittsburgh, PA, 1992, pp. 144-152. (Pubitemid 23615470)
-
(1992)
Proceedings of the Fifth Annual ACM Workshop on Computational Learning Theory
, pp. 144-152
-
-
Boser Bernhard, E.1
Guyon Isabelle, M.2
Vapnik Vladimir, N.3
-
11
-
-
27144489164
-
A tutorial on support vector machines for pattern recognition
-
C. BURGES, A tutorial on support vector machines for pattern recognition, Data Min. Knowl. Disc., 2 (1998), pp. 121-167. (Pubitemid 128695475)
-
(1998)
Data Mining and Knowledge Discovery
, vol.2
, Issue.2
, pp. 121-167
-
-
Burges, C.J.C.1
-
12
-
-
84898957872
-
Improving the accuracy and speed of support vector machines
-
M. Mozer, M. Jordan, and T. Petsche, eds., MIT Press, Cambridge, MA
-
C. BURGES AND B. SCHÖLKOPF, Improving the accuracy and speed of support vector machines, in Advances in Neural Information Processing Systems 9 M. Mozer, M. Jordan, and T. Petsche, eds., MIT Press, Cambridge, MA, 1997.
-
(1997)
Advances in Neural. Information Processing Systems
, vol.9
-
-
Burges, C.1
Schölkopf, B.2
-
13
-
-
0034228643
-
The analysis of decomposition methods for support vector machines
-
C.-C. CHANG, C.-W. HSU, AND C.-J. LIN, The analysis of decomposition methods for support vector machines, IEEE Trans. Neural Networks, 11 (2000), pp. 1003-1008.
-
(2000)
IEEE Trans. Neural. Networks
, vol.11
, pp. 1003-1008
-
-
Chang, C.-C.1
Hsu, C.-W.2
Lin, C.-J.3
-
15
-
-
34249753618
-
Support vector networks
-
C. CORTES AND V. VAPNIK, Support vector networks, Mach. Learn., 20 (1995), pp. 1-25.
-
(1995)
Mach. Learn.
, vol.20
, pp. 1-25
-
-
Cortes, C.1
Vapnik, V.2
-
16
-
-
0344550334
-
Alternate stepsize gradient method
-
Y. H. DAI, Alternate stepsize gradient method, Optimization, 52 (2003), pp. 395-415.
-
(2003)
Optimization
, vol.52
, pp. 395-415
-
-
Dai, Y.H.1
-
17
-
-
33644511085
-
New algorithms for singly linearly constrained quadratic programs subject to lower and upper bounds
-
Y. H. DAI AND R. FLETCHER, New algorithms for singly linearly constrained quadratic programs subject to lower and upper bounds, Math. Program., 106 (2006), pp. 403-421.
-
(2006)
Math. Program.
, vol.106
, pp. 403-421
-
-
Dai, Y.H.1
Fletcher, R.2
-
18
-
-
33745923778
-
The cyclic Barzilai-Borwein method for unconstrained optimization
-
DOI 10.1093/imanum/drl006
-
Y. H. DAI, W. W. HAGER, K. SCHITTKOWSKI, AND H. ZHANG, The cyclic Barzilai-Borwein method for unconstrained optimization, IMA J. Numer. Anal., 26 (2006), pp. 604-627. (Pubitemid 44048227)
-
(2006)
IMA Journal of Numerical Analysis
, vol.26
, Issue.3
, pp. 604-627
-
-
Dai, Y.-H.1
Hager, W.W.2
Schittkowski, K.3
Zhang, H.4
-
19
-
-
0035566509
-
Adaptive two-point stepsize gradient algorithm
-
DOI 10.1023/A:1013844413130
-
Y. H. DAI AND H. ZHANG, An adaptive two-point stepsize gradient algorithm, Numer. Algorithms, 27 (2001), pp. 377-385. (Pubitemid 33643870)
-
(2001)
Numerical Algorithms
, vol.27
, Issue.4
, pp. 377-385
-
-
Dai, Y.-H.1
Zhang, H.2
-
20
-
-
28244496090
-
Benchmarking optimization software with performance profiles
-
DOI 10.1007/s101070100263
-
E. D. DOLAN AND J. J. MORÉ, Benchmarking optimization software with performance profiles, Math. Program., 91 (2002), pp. 201-213. (Pubitemid 44744777)
-
(2002)
Mathematical Programming, Series B
, vol.91
, Issue.2
, pp. 201-213
-
-
Dolan, E.D.1
More, J.J.2
-
21
-
-
17144374074
-
Fast SVM training algorithm with decomposition on very large data sets
-
DOI 10.1109/TPAMI.2005.77
-
J. X. DONG, A. KRZYZAK, AND C. Y. SUEN, Fast SVM training algorithm with decomposition on very large data sets, IEEE Trans. Pattern Anal. Mach. Intell., 27 (2005), pp. 603-618. (Pubitemid 40556114)
-
(2005)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.27
, Issue.4
, pp. 603-618
-
-
Dong, J.-X.1
Krzyzak, A.2
Suen, C.Y.3
-
22
-
-
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
-
23
-
-
29144499905
-
Working set selection using second order information for training support vector machines
-
R.-E. FAN, P.-H. CHEN, AND C.-J. LIN, Working set selection using second order information for training support vector machines, J. Mach. Learn. Res., 6 (2005), pp. 1889-1918. (Pubitemid 41798130)
-
(2005)
Journal of Machine Learning Research
, vol.6
, pp. 1889-1918
-
-
Fan, R.-E.1
Chen, P.-H.2
Lin, C.-J.3
-
24
-
-
0041657519
-
Interior-point methods for massive support vector machines
-
DOI 10.1137/S1052623400374379, PII S1052623400374379
-
M. C. FERRIS AND T. S. MUNSON, Interior point methods for massive support vector machines, SIAM J. Optim., 13 (2003), pp. 783-804. (Pubitemid 36971112)
-
(2003)
SIAM Journal on Optimization
, vol.13
, Issue.3
, pp. 783-804
-
-
Ferris, M.C.1
Munson, T.S.2
-
25
-
-
23944458072
-
Semismooth support vector machines
-
DOI 10.1007/s10107-004-0541-8
-
M. C. FERRIS AND T. S. MUNSON, Semismooth support vector machines, Math. Program., 101 (2004), pp. 185-204. (Pubitemid 41201323)
-
(2004)
Mathematical Programming
, vol.101
, Issue.1
, pp. 185-204
-
-
Ferris, M.C.1
Munson, T.S.2
-
26
-
-
0041494125
-
Efficient SVM training using low-rank kernel representations
-
S. FINE AND K. SCHEINBERG, Efficient SVM training using low-rank kernel representations, J. Mach. Learn. Res., 2 (2001), pp. 243-264.
-
(2001)
J. Mach. Learn. Res.
, vol.2
, pp. 243-264
-
-
Fine, S.1
Scheinberg, K.2
-
27
-
-
0000213421
-
Gradient method with retards and generalizations
-
A. FRIEDLANDER, J. M. MARTÍNEZ, B. MOLINA, AND M. RAYDAN, Gradient method with retards and generalizations, SIAM J. Numer. Anal., 36 (1999), pp. 275-289.
-
(1999)
SIAM J. Numer. Anal.
, vol.36
, pp. 275-289
-
-
Friedlander, A.1
Martínez, J.M.2
Molina, B.3
Raydan, M.4
-
28
-
-
78650037664
-
Using an iterative linear solver in an interior-point method for generating support vector machines
-
DOI 10.1007/s10589-008-9228-z
-
E. M. GERTZ AND J. D. GRIFFIN, Using an iterative linear solver in an interior-point method for generating support vector machines, Comput. Optim. Appl., (2008), DOI 10.1007/s10589-008-9228-z.
-
(2008)
Comput. Optim. Appl.
-
-
Gertz, E.M.1
Griffin, J.D.2
-
29
-
-
0000966995
-
Continuous characterizations of the maximum clique problem
-
L. E. GIBBONS, D. W. HEARN, P. M. PARDALOS, AND M. V. RAMANA, Continuous characterizations of the maximum clique problem, Math. Oper. Res., 22 (1997), pp. 754-768. (Pubitemid 127653360)
-
(1997)
Mathematics of Operations Research
, vol.22
, Issue.3
, pp. 754-768
-
-
Gibbons, L.E.1
Hearn, D.W.2
Pardalos, P.M.3
Ramana, M.V.4
-
32
-
-
0022766519
-
A nonmonotone line search technique for Newton's method
-
L. GRIPPO, F. LAMPARIELLO, AND S. LUCIDI, A nonmonotone line search technique for Newton's method, SIAM J. Numer. Anal., 23 (1986), pp. 707-716. (Pubitemid 16604645)
-
(1986)
SIAM Journal on Numerical Analysis
, vol.23
, Issue.4
, pp. 707-716
-
-
Grippo, L.1
Lampariello, F.2
Lucidi, S.3
-
33
-
-
0001101633
-
Graph partitioning and continuous quadratic programming
-
PII S0895480199335829
-
W. W. HAGER AND Y. KRYLYUK, Graph partitioning and continuous quadratic programming, SIAM J. Discrete Math., 12 (1999), pp. 500-523. (Pubitemid 129643179)
-
(1999)
SIAM Journal on Discrete Mathematics
, vol.12
, Issue.4
, pp. 500-523
-
-
Hager, W.W.1
Krylyuk, Y.2
-
34
-
-
60449102102
-
An affine-scaling interior-point CBB method for box-constrained optimization
-
W. W. HAGER, B. A. MAIR, AND H. ZHANG, An affine-scaling interior-point CBB method for box-constrained optimization, Math. Program., 119 (2009), pp. 1-32.
-
(2009)
Math. Program.
, vol.119
, pp. 1-32
-
-
Hager, W.W.1
Mair, B.A.2
Zhang, H.3
-
35
-
-
33144465578
-
A new conjugate gradient method with guaranteed descent and an efficient line search
-
W. W. HAGER AND H. ZHANG, A new conjugate gradient method with guaranteed descent and an efficient line search, SIAM J. Optim., 16 (2005), pp. 170-192.
-
(2005)
SIAM J. Optim.
, vol.16
, pp. 170-192
-
-
Hager, W.W.1
Zhang, H.2
-
36
-
-
34249008073
-
A new active set algorithm for box constrained optimization
-
DOI 10.1137/050635225
-
W. W. HAGER AND H. ZHANG, A new active set algorithm for box constrained optimization, SIAM J. Optim., 17 (2006), pp. 526-557. (Pubitemid 46798079)
-
(2006)
SIAM Journal on Optimization
, vol.17
, Issue.2
, pp. 526-557
-
-
Hager, W.W.1
Zhang, H.2
-
37
-
-
33646392997
-
QP algorithms with guaranteed accuracy and run time for support vector machines
-
D. HUSH, P. KELLY, C. SCOVEL, AND I. STEINWART, QP algorithms with guaranteed accuracy and run time for support vector machines, J. Mach. Learn. Res., 7 (2006), pp. 733-769.
-
(2006)
J. Mach. Learn. Res.
, vol.7
, pp. 733-769
-
-
Hush, D.1
Kelly, P.2
Scovel, C.3
Steinwart, I.4
-
38
-
-
0003425660
-
Text categorization with support vector machine
-
University of Dortmund
-
J. JOACHIMS, Text Categorization with Support Vector Machine, Technical report LS VIII Number 23, ftp://ftp-ai.informatik.uni-dortmund.de/pub/Reports/ report23.ps. Z, University of Dortmund, 1997.
-
(1997)
Technical Report LS VIII Number 23
-
-
Joachims, J.1
-
39
-
-
0002714543
-
Making large-scale support vector machine learning practical
-
B. Schölkopf, C. Burges, and A. Smola, eds., MIT Press, Cambridge, MA
-
T. JOACHIMS, Making large-scale support vector machine learning practical, in Advances in Kernel Methods-Support Vector Learning, B. Schölkopf, C. Burges, and A. Smola, eds., MIT Press, Cambridge, MA, 1998, pp. 169-184.
-
(1998)
Advances in Kernel Methods-support Vector Learning
, pp. 169-184
-
-
Joachims, T.1
-
41
-
-
0000545946
-
Improvements to Platts SMO
-
S. KEERTHI, S. SHEVADE, C. BHATTACHARYYA, AND K. MURTHY, Improvements to Platts SMO, Neural Comput., 13 (2001), pp. 637-649.
-
(2001)
Neural. Comput.
, vol.13
, pp. 637-649
-
-
Keerthi, S.1
Shevade, S.2
Bhattacharyya, C.3
Murthy, K.4
-
42
-
-
0036163654
-
Convergence of a generalized SMO algorithm for SVM classifier design
-
DOI 10.1023/A:1012431217818
-
S. S. KEERTHI AND E. G. GILBERT, Convergence of a generalized SMO algorithm for SVM classifier design, Mach. Learn., 46 (2002), pp. 351-360. (Pubitemid 34129975)
-
(2002)
Machine Learning
, vol.46
, Issue.1-3
, pp. 351-360
-
-
Keerthi, S.S.1
Gilbert, E.G.2
-
43
-
-
0037313407
-
SMO algorithm for least-squares SVM formulations
-
DOI 10.1162/089976603762553013
-
S. S. KEERTHI AND S. K. SHEVADE, SMO algorithm for least-squares SVM formulations, Neural Comput., 15 (2003), pp. 487-507. (Pubitemid 37049831)
-
(2003)
Neural Computation
, vol.15
, Issue.2
, pp. 487-507
-
-
Keerthi, S.S.1
Shevade, S.K.2
-
44
-
-
0038178786
-
Linear convergence of a decomposition method for support vector machines
-
National Taiwan University, Taipei, Taiwan
-
C.-J. LIN, Linear Convergence of a Decomposition Method for Support Vector Machines, Technical report, Department of Computater Science and Information Engineering, National Taiwan University, Taipei, Taiwan, 2001.
-
(2001)
Technical Report, Department of Computater Science and Information Engineering
-
-
Lin, C.-J.1
-
45
-
-
0035506741
-
On the convergence of the decomposition method for support vector machines
-
DOI 10.1109/72.963765, PII S1045922701064566
-
C.-J. LIN, On the convergence of a decomposition method for support vector machines, IEEE Trans. Neural Networks, 12 (2001), pp. 1288-1298. (Pubitemid 33106034)
-
(2001)
IEEE Transactions on Neural Networks
, vol.12
, Issue.6
, pp. 1288-1298
-
-
Lin, C.-J.1
-
46
-
-
0036129250
-
Asymptotic convergence of an SMO algorithm without any assumptions
-
DOI 10.1109/72.977319, PII S1045922702009438
-
C.-J. LIN, Asymptotic convergence of an SMO algorithm without any assumptions, IEEE Trans. Neural Networks, 13 (2002), pp. 248-250. (Pubitemid 34236853)
-
(2002)
IEEE Transactions on Neural Networks
, vol.13
, Issue.1
, pp. 248-250
-
-
Lin, C.-J.1
-
48
-
-
0000230999
-
Maxima for graphs and a new proof of a theorem of Turan
-
T. S. MOTZKIN AND E. G. STRAUSS, Maxima for graphs and a new proof of a theorem of Turan, Canad. J. Math., 17 (1965), pp. 533-540.
-
(1965)
Canad. J. Math.
, vol.17
, pp. 533-540
-
-
Motzkin, T.S.1
Strauss, E.G.2
-
49
-
-
0031334889
-
Improved training algorithm for support vector machines
-
E. OSUNA, R. FREUND, AND F. GIROSI, Improved training algorithm for support vector machines, in Proceedings of the IEEE Workshop on Neural Networks for Signal Processing, 1997, pp. 276-285.
-
(1997)
Proceedings of the IEEE Workshop on Neural. Networks for Signal Processing
, pp. 276-285
-
-
Osuna, E.1
Freund, R.2
Girosi, F.3
-
50
-
-
0003425662
-
Support vector machines: Training and applications
-
C. B. C. L. Paper No. 144, MIT, Cambridge, MA
-
E. OSUNA, R. FREUND, AND F. GIROSI, Support Vector Machines: Training and Applications, Technical report AIM-1602, C. B. C. L. Paper No. 144, MIT, Cambridge, MA, 1997.
-
(1997)
Technical Report AIM-1602
-
-
Osuna, E.1
Freund, R.2
Girosi, F.3
-
51
-
-
0030673582
-
Training support vector machines: An application to face detection
-
E. OSUNA, R. FREUND, AND F. GIROSI, Training support vector machines: An application to face detection, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1997, pp. 130-136.
-
(1997)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
, pp. 130-136
-
-
Osuna, E.1
Freund, R.2
Girosi, F.3
-
53
-
-
0003120218
-
Fast training of support vector machines using sequential minimal optimization
-
B. Schölkopf, C. Burges, and A. Smola, eds., MIT Press, Cambridge, MA
-
J. PLATT, Fast training of support vector machines using sequential minimal optimization, in Advances in Kernel Methods-Support Vector Learning, B. Schölkopf, C. Burges, and A. Smola, eds., MIT Press, Cambridge, MA, 1998, pp. 41-65.
-
(1998)
Advances in Kernel Methods-support Vector Learning
, pp. 41-65
-
-
Platt, J.1
-
54
-
-
0031542191
-
The Barzilai and Borwein gradient method for the large scale unconstrained minimization problem
-
M. RAYDAN, The Barzilai and Borwein gradient method for the large scale unconstrained minimization problem, SIAM J. Optim., 7 (1997), pp. 26-33.
-
(1997)
SIAM J. Optim.
, vol.7
, pp. 26-33
-
-
Raydan, M.1
-
55
-
-
0036471006
-
Relaxed steepest descent and Cauchy-Barzilai-Borwein method
-
DOI 10.1023/A:1013708715892
-
M. RAYDAN AND B. F. SVAITER, Relaxed steepest descent and Cauchy-Barzilai-Borwein method, Comput. Optim. Appl., 21 (2002), pp. 155-167. (Pubitemid 34168103)
-
(2002)
Computational Optimization and Applications
, vol.21
, Issue.2
, pp. 155-167
-
-
Raydan, M.1
Svaiter, B.F.2
-
56
-
-
33745798002
-
An efficient implementation of an active set method for SVMs
-
K. SCHEINBERG, An efficient implementation of an active set method for SVMs, J. Mach. Learn. Res., 7 (2006), pp. 2237-2257. (Pubitemid 44611764)
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 2237-2257
-
-
Scheinberg, K.1
-
58
-
-
85118436573
-
Extracting support data for a given task
-
U. M. Fayyad and R. Uthurusamy, eds., AAAI Press, Menlo Park, CA
-
B. SCHÖLKOPF, C. BURGES, AND V. N. VAPNIK, Extracting support data for a given task, in Proceedings of the First International Conference on Knowledge Discovery and Data Mining, U. M. Fayyad and R. Uthurusamy, eds., AAAI Press, Menlo Park, CA, 1995.
-
(1995)
Proceedings of the First International Conference on Knowledge Discovery and Data Mining
-
-
Schölkopf, B.1
Burges, C.2
Vapnik, V.N.3
-
59
-
-
84902142380
-
Incorporating Invariances in Support Vector Learning Machines
-
Artificial Neural Networks - ICANN 96
-
B. SCHÖLKOPF, Incorporating invariances in support vector learning machines, in Artificial Neural Networks, J. V. C. von der Malsburg, W. von Seelen, and B. Sendhoff, eds., Springer, Berlin, 1996, pp. 47-52. (Pubitemid 126098507)
-
(1996)
LECTURE NOTES IN COMPUTER SCIENCE
, Issue.1112
, pp. 47-52
-
-
Schoelkopf, B.1
Burges, C.2
Vapnik, V.3
-
60
-
-
12444278992
-
Gradient projection methods for quadratic programs and applications in training support vector machines
-
T. SERAFINI, G. ZANGHIRATI, AND L. ZANNI, Gradient projection methods for quadratic programs and applications in training support vector machines, Optim. Methods Softw., 20 (2005), pp. 353-378.
-
(2005)
Optim. Methods Softw.
, vol.20
, pp. 353-378
-
-
Serafini, T.1
Zanghirati, G.2
Zanni, L.3
-
61
-
-
27744479938
-
On the working set selection in gradient projection-based decomposition techniques for support vector machines
-
DOI 10.1080/10556780500140714
-
T. SERAFINI AND L. ZANNI, On the working set selection in gradient-based decomposition techniques for support vector machines, Optim. Methods Softw., 20 (2005), pp. 583-596. (Pubitemid 41602158)
-
(2005)
Optimization Methods and Software
, vol.20
, Issue.4-5
, pp. 583-596
-
-
Serafini, T.1
Zanni, L.2
-
63
-
-
77956736675
-
A coordinate gradient descent method for linearly constrained smooth optimization and support vector machines training
-
DOI 10.1007/s10589-008-9215-4
-
P. TSENG AND S. YUN, A coordinate gradient descent method for linearly constrained smooth optimization and support vector machines training, Comput. Optim. Appl., (2008), DOI 10.1007/s10589-008-9215-4.
-
(2008)
Comput. Optim. Appl.
-
-
Tseng, P.1
Yun, S.2
-
65
-
-
0012307221
-
Density estimation using support vector machines
-
Royal Holloway College
-
J. WESTON, A. GAMMERMAN, M. STITSON, V. VAPNIK, V. VORK, AND C. WATKINS, Density estimation using support vector machines, Technical report CSD-TR-97-23, Royal Holloway College, 1997.
-
(1997)
Technical Report CSD-TR-97-23
-
-
Weston, J.1
Gammerman, A.2
Stitson, M.3
Vapnik, V.4
Vork, V.5
Watkins, C.6
-
66
-
-
79956159699
-
Exploiting separability in large-scale linear support vector machine training
-
DOI 10.1007/s10589-009-9296-8
-
K. WOODSEND AND J. GONDZIO, Exploiting separability in large-scale linear support vector machine training, Comput. Optim. Appl., (2009), DOI 10.1007/s10589-009-9296-8.
-
(2009)
Comput. Optim. Appl.
-
-
Woodsend, K.1
Gondzio, J.2
-
67
-
-
33645025197
-
An improved gradient projection-based decomposition technique for support vector machines
-
DOI 10.1007/s10287-005-0004-6
-
L. ZANNI, An improved gradient projection-based decomposition technique for support vector machines, Comput. Manag. Sci., 3 (2006), pp. 131-145. (Pubitemid 43414563)
-
(2006)
Computational Management Science
, vol.3
, Issue.2
, pp. 131-145
-
-
Zanni, L.1
-
68
-
-
33745784205
-
Parallel software for training large scale support vector machines on multiprocessor systems
-
L. ZANNI, T. SERAFINI, AND G. ZANGHIRATI, Parallel software for training large scale support vector machines on multiprocessor systems, J. Mach. Learn. Res., 7 (2006), pp. 1467-1492. (Pubitemid 44024592)
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 1467-1492
-
-
Zanni, L.1
Serafini, T.2
Zanghirati, G.3
|