-
1
-
-
0003706460
-
-
SIAM, Philadelphia, Pennsylvania, third edition
-
E. Anderson, Z. Bai, C. Bischof, S. Blackford, J. Demmel, J. Dongarra, J. Du Croz, A. Greenbaum, S. Hammarling, A. McKenney, and D. Sorensen. LAPACK User's Guide. SIAM, Philadelphia, Pennsylvania, third edition, 1999. http://www.netlib.org/lapack/.
-
(1999)
LAPACK User's Guide
-
-
Anderson, E.1
Bai, Z.2
Bischof, C.3
Blackford, S.4
Demmel, J.5
Dongarra, J.6
Du Croz, J.7
Greenbaum, A.8
Hammarling, S.9
McKenney, A.10
Sorensen, D.11
-
2
-
-
0026860799
-
Robust linear programming discrimination of two linearly inseparable sets
-
K. P. Bennett and O. L. Mangasarian. Robust linear programming discrimination of two linearly inseparable sets. Optimization Methods and Software, 1:23-34, 1992.
-
(1992)
Optimization Methods and Software
, vol.1
, pp. 23-34
-
-
Bennett, K.P.1
Mangasarian, O.L.2
-
3
-
-
0033721433
-
Massive data discrimination via linear support vector machines
-
P. S. Bradley and O. L. Mangasarian. Massive data discrimination via linear support vector machines. Optimization Methods and Software, 13:1-10, 2000. ftp://ftp.cs.wisc.edu/math-prog/tech-reports/9803.ps.
-
(2000)
Optimization Methods and Software
, vol.13
, pp. 1-10
-
-
Bradley, P.S.1
Mangasarian, O.L.2
-
4
-
-
4244094239
-
-
US Census Bureau. Adult dataset. Publicly available from: www.sgi.com/Technology/mlc/db/.
-
Adult Dataset
-
-
-
5
-
-
27144489164
-
A tutorial on support vector machines for pattern recognition
-
C. J. C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2(2):121-167, 1998.
-
(1998)
Data Mining and Knowledge Discovery
, vol.2
, Issue.2
, pp. 121-167
-
-
Burges, C.J.C.1
-
9
-
-
0002439508
-
Regularization networks and support vector machines
-
A. Smola, P. Bartlett, B. Schölkopf, and D. Schuurmans, editors, Cambridge, MA, MIT Press
-
T. Evgeniou, M. Pontil, and T. Poggio. Regularization networks and support vector machines. In A. Smola, P. Bartlett, B. Schölkopf, and D. Schuurmans, editors, Advances in Large Margin Classifiers, pages 171-203, Cambridge, MA, 2000. MIT Press.
-
(2000)
Advances in Large Margin Classifiers
, pp. 171-203
-
-
Evgeniou, T.1
Pontil, M.2
Poggio, T.3
-
10
-
-
0003819899
-
-
Technical Report 00-05, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, May
-
M. C. Ferris and T. S. Munson. Interior point methods for massive support vector machines. Technical Report 00-05, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, May 2000. ftp://ftp.cs.wisc.edu/pub/dmi/tech-reports/00-05.ps.
-
(2000)
Interior Point Methods for Massive Support Vector Machines
-
-
Ferris, M.C.1
Munson, T.S.2
-
11
-
-
0034592781
-
Data selection for support vector machine classification
-
R. Ramakrishnan and S. Stolfo, editors, August 20-23, Boston, MA, New York, 2000. Asscociation for Computing Machinery
-
G. Fung and O. L. Mangasarian. Data selection for support vector machine classification. In R. Ramakrishnan and S. Stolfo, editors, Proceedings KDD2000: Knowledge Discovery and Data Mining, August 20-23, 2000, Boston, MA, pages 64-70, New York, 2000. Asscociation for Computing Machinery. ftp://ftp.cs.wisc.edu/pub/dmi/tech-reports/00-02.ps.
-
(2000)
Proceedings KDD2000: Knowledge Discovery and Data Mining
, pp. 64-70
-
-
Fung, G.1
Mangasarian, O.L.2
-
12
-
-
33749260442
-
-
Technical Report 00-08, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, November
-
G. Fung, O. L. Mangasarian, and A. Smola. Minimal kernel classifiers. Technical Report 00-08, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, November 2000. ftp://ftp.cs.wisc.edu/pub/dmi/tech-reports/00-08.ps.
-
(2000)
Minimal Kernel Classifiers
-
-
Fung, G.1
Mangasarian, O.L.2
Smola, A.3
-
14
-
-
0004236492
-
-
The John Hopkins University Press, Baltimore, Maryland, 3rd edition
-
G. H. Golub and C. F. Van Loan. Matrix Computations. The John Hopkins University Press, Baltimore, Maryland, 3rd edition, 1996.
-
(1996)
Matrix Computations
-
-
Golub, G.H.1
Van Loan, C.F.2
-
15
-
-
0012905818
-
-
Technical report, Institut für Angrwandte Mathematik, Universitaät Bonn, Bonn, Germany
-
J. Gracke, M. Griebel, and M. Thess. Data mining with sparse grids. Technical report, Institut für Angrwandte Mathematik, Universitaät Bonn, Bonn, Germany, 2000. http://wissrech.iam.unibonn.de/research/projects/garcke/sparsemining.html.
-
(2000)
Data Mining with Sparse Grids
-
-
Gracke, J.1
Griebel, M.2
Thess, M.3
-
16
-
-
0002714543
-
Making large-scale support vector machine learning practical
-
B. Schölkopf, C. J. C. Burges, and A. J. Smola, editors, MIT Press
-
T. Joachims. Making large-scale support vector machine learning practical. In B. Schölkopf, C. J. C. Burges, and A. J. Smola, editors, Advances in Kernel Methods - Support Vector Learning, pages 169-184. MIT Press, 1999.
-
(1999)
Advances in Kernel Methods - Support Vector Learning
, pp. 169-184
-
-
Joachims, T.1
-
17
-
-
0041414854
-
RSVM: Reduced support vector machines
-
Technical Report 00-07, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, July Chicago, April 5-7, CD-ROM
-
Y.-J. Lee and O. L. Mangasarian. RSVM: Reduced support vector machines. Technical Report 00-07, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, July 2000. Proceedings of the First SIAM International Conference on Data Mining, Chicago, April 5-7, 2001, CD-ROM. ftp://ftp.cs.wisc.edu/pub/dmi/tech-reports/00-07.ps.
-
(2000)
Proceedings of the First SIAM International Conference on Data Mining
-
-
Lee, Y.-J.1
Mangasarian, O.L.2
-
18
-
-
0003710385
-
SSVM: A smooth support vector machine
-
Technical Report 99-03, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, September, October
-
Yuh-Jye Lee and O. L. Mangasarian. SSVM: A smooth support vector machine. Technical Report 99-03, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, September 1999. Computational Optimization and Applications 20(1), October 2001, to appear. ftp://ftp.cs.wisc.edu/pub/dmi/tech-reports/99-03.ps.
-
(1999)
Computational Optimization and Applications
, vol.20
, Issue.1
-
-
Lee, Y.-J.1
Mangasarian, O.L.2
-
20
-
-
0001777975
-
Generalized support vector machines
-
A. Smola, P. Bartlett, B. Schölkopf, and D. Schuurmans, editors, Cambridge, MA, MIT Press
-
O. L. Mangasarian. Generalized support vector machines. In A. Smola, P. Bartlett, B. Schölkopf, and D. Schuurmans, editors, Advances in Large Margin Classifiers, pages 135-146, Cambridge, MA, 2000. MIT Press. ftp://ftp.cs.wisc.edu/math-prog/tech-reports/98-14.ps.
-
(2000)
Advances in Large Margin Classifiers
, pp. 135-146
-
-
Mangasarian, O.L.1
-
22
-
-
0032594961
-
Successive overrelaxation for support vector machines
-
O. L. Mangasarian and D. R. Musicant. Successive overrelaxation for support vector machines. IEEE Transactions on Neural Networks, 10:1032-1037, 1999. ftp://ftp.cs.wisc.edu/math-prog/tech-reports/9818.ps.
-
(1999)
IEEE Transactions on Neural Networks
, vol.10
, pp. 1032-1037
-
-
Mangasarian, O.L.1
Musicant, D.R.2
-
23
-
-
0004229033
-
Active support vector machine classification
-
Technical Report 00-04, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, April
-
O. L. Mangasarian and D. R. Musicant. Active support vector machine classification. Technical Report 00-04, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, April 2000. Machine Learning, to appear. ftp://ftp.cs.wisc.edu/pub/dmi/tech-reports/00-04.ps.
-
(2000)
Machine Learning
-
-
Mangasarian, O.L.1
Musicant, D.R.2
-
24
-
-
0003408791
-
Lagrangian support vector machines
-
Technical Report 00-06, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, June
-
O. L. Mangasarian and D. R. Musicant. Lagrangian support vector machines. Technical Report 00-06, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, June 2000. Journal of Machine Learning Research, to appear. ftp://ftp.cs.wisc.edu/pub/dmi/tech-reports/00-06.ps.
-
(2000)
Journal of Machine Learning Research
-
-
Mangasarian, O.L.1
Musicant, D.R.2
-
25
-
-
0023348755
-
Lipschitz continuity of solutions of linear inequalities, programs and complementarity problems
-
May
-
O. L. Mangasarian and T.-H. Shiau. Lipschitz continuity of solutions of linear inequalities, programs and complementarity problems. SIAM Journal on Control and Optimization, 25(3):583-595, May 1987.
-
(1987)
SIAM Journal on Control and Optimization
, vol.25
, Issue.3
, pp. 583-595
-
-
Mangasarian, O.L.1
Shiau, T.-H.2
-
26
-
-
0003977898
-
-
The Math Works, Inc., Natick, MA 01760
-
MATLAB. User's Guide. The Math Works, Inc., Natick, MA 01760, 1994-2001. http://www.mathworks.com.
-
(1994)
User's Guide
-
-
-
30
-
-
0038614486
-
Automated star/galaxy discrimination with neural networks
-
S. Odewahn, E. Stockwell, R. Pennington, R. Humphreys, and W. Zumach. Automated star/galaxy discrimination with neural networks. Astronomical Journal, 103(1):318-331, 1992.
-
(1992)
Astronomical Journal
, vol.103
, Issue.1
, pp. 318-331
-
-
Odewahn, S.1
Stockwell, E.2
Pennington, R.3
Humphreys, R.4
Zumach, W.5
-
31
-
-
0003120218
-
Sequential minimal optimization: A fast algorithm for training support vector machines
-
B. Schölkopf, C. J. C. Burges, and A. J. Smola, editors, MIT Press
-
J. Platt. Sequential minimal optimization: A fast algorithm for training support vector machines. In B. Schölkopf, C. J. C. Burges, and A. J. Smola, editors, Advances in Kernel Methods - Support Vector Learning, pages 185-208. MIT Press, 1999. http://www.research.microsoft.com/̃jplatt/smo.html.
-
(1999)
Advances in Kernel Methods - Support Vector Learning
, pp. 185-208
-
-
Platt, J.1
-
32
-
-
0003652453
-
-
MIT Press, Cambridge, MA
-
A. Smola, P. L. Bartlett, B. Schölkopf, and J. Schürmann (editors). Advances in Large Margin Classifiers. MIT Press, Cambridge, MA, 2000.
-
(2000)
Advances in Large Margin Classifiers
-
-
Smola, A.1
Bartlett, P.L.2
Schölkopf, B.3
Schürmann, J.4
-
33
-
-
0032638628
-
Least squares support vector machine classifiers
-
J. A. K. Suykens and J. Vandewalle. Least squares support vector machine classifiers. Neural Processing Letters, 9(3):293-300, 1999.
-
(1999)
Neural Processing Letters
, vol.9
, Issue.3
, pp. 293-300
-
-
Suykens, J.A.K.1
Vandewalle, J.2
-
37
-
-
0012960204
-
-
Alexis Wieland. Twin spiral dataset, http://www-cgi.cs.cmu.edu/afs/cs.cmu.edu/project/airepository/ai/areas/neural/be nch/cmu/0.html.
-
Twin Spiral Dataset
-
-
Wieland, A.1
|