O. L. Mangasarian
List of publications from the
2008 |
36 | | Olvi L. Mangasarian,
Edward W. Wild:
Privacy-Preserving Classification of Horizontally Partitioned Data via Random Kernels.
DMIN 2008: 473-479 |
35 | EE | Olvi L. Mangasarian,
Edward W. Wild,
Glenn Fung:
Privacy-preserving classification of vertically partitioned data via random kernels.
TKDD 2(3): (2008) |
2007 |
34 | EE | Olvi L. Mangasarian,
Gang Kou:
Feature Selection for Nonlinear Kernel Support Vector Machines.
ICDM Workshops 2007: 231-236 |
33 | EE | Olvi L. Mangasarian,
Edward W. Wild:
Nonlinear Knowledge in Kernel Approximation.
IEEE Transactions on Neural Networks 18(1): 300-306 (2007) |
32 | EE | O. L. Mangasarian:
Absolute value equation solution via concave minimization.
Optimization Letters 1(1): 3-8 (2007) |
2006 |
31 | EE | Olvi L. Mangasarian,
Edward W. Wild:
Multisurface Proximal Support Vector Machine Classification via Generalized Eigenvalues.
IEEE Trans. Pattern Anal. Mach. Intell. 28(1): 69-74 (2006) |
30 | EE | Olvi L. Mangasarian:
Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization.
Journal of Machine Learning Research 7: 1517-1530 (2006) |
2005 |
29 | EE | Glenn Fung,
Olvi L. Mangasarian:
Multicategory Proximal Support Vector Machine Classifiers.
Machine Learning 59(1-2): 77-97 (2005) |
2004 |
28 | EE | Olvi L. Mangasarian,
Jude W. Shavlik,
Edward W. Wild:
Knowledge-Based Kernel Approximation.
Journal of Machine Learning Research 5: 1127-1141 (2004) |
2003 |
27 | EE | Glenn Fung,
Olvi L. Mangasarian,
Jude W. Shavlik:
Knowledge-Based Nonlinear Kernel Classifiers.
COLT 2003: 102-113 |
26 | EE | Glenn Fung,
Olvi L. Mangasarian:
Finite Newton method for Lagrangian support vector machine classification.
Neurocomputing 55(1-2): 39-55 (2003) |
2002 |
25 | EE | Glenn Fung,
Olvi L. Mangasarian,
Jude W. Shavlik:
Knowledge-Based Support Vector Machine Classifiers.
NIPS 2002: 521-528 |
24 | EE | Glenn Fung,
Olvi L. Mangasarian:
Incremental Support Vector Machine Classification.
SDM 2002 |
23 | EE | Glenn Fung,
Olvi L. Mangasarian,
Alex J. Smola:
Minimal Kernel Classifiers.
Journal of Machine Learning Research 3: 303-321 (2002) |
22 | | Olvi L. Mangasarian,
David R. Musicant:
Large Scale Kernel Regression via Linear Programming.
Machine Learning 46(1-3): 255-269 (2002) |
2001 |
21 | EE | Glenn Fung,
Olvi L. Mangasarian:
Proximal support vector machine classifiers.
KDD 2001: 77-86 |
20 | | Olvi L. Mangasarian:
Data Mining via Support Vector Machines.
System Modelling and Optimization 2001: 91-112 |
19 | EE | Olvi L. Mangasarian,
David R. Musicant:
Lagrangian Support Vector Machines.
Journal of Machine Learning Research 1: 161-177 (2001) |
2000 |
18 | EE | Glenn Fung,
Olvi L. Mangasarian:
Data selection for support vector machine classifiers.
KDD 2000: 64-70 |
17 | | Olvi L. Mangasarian,
David R. Musicant:
Active Support Vector Machine Classification.
NIPS 2000: 577-583 |
16 | EE | Olvi L. Mangasarian,
David R. Musicant:
Robust Linear and Support Vector Regression.
IEEE Trans. Pattern Anal. Mach. Intell. 22(9): 950-955 (2000) |
1999 |
15 | EE | Olvi L. Mangasarian,
David R. Musicant:
Successive overrelaxation for support vector machines.
IEEE Transactions on Neural Networks 10(5): 1032-1037 (1999) |
14 | EE | O. L. Mangasarian:
Arbitrary-norm separating plane.
Oper. Res. Lett. 24(1-2): 15-23 (1999) |
1998 |
13 | | Paul S. Bradley,
Olvi L. Mangasarian:
Feature Selection via Concave Minimization and Support Vector Machines.
ICML 1998: 82-90 |
12 | | Olvi L. Mangasarian:
Error bounds for nondifferentiable convex inequalities under a strong Slater constraint qualification.
Math. Program. 83: 187-194 (1998) |
1997 |
11 | | Olvi L. Mangasarian:
Mathematical Programming in Data Mining.
Data Min. Knowl. Discov. 1(2): 183-201 (1997) |
1996 |
10 | EE | Paul S. Bradley,
Olvi L. Mangasarian,
W. Nick Street:
Clustering via Concave Minimization.
NIPS 1996: 368-374 |
9 | EE | Chunhui Chen,
Olvi L. Mangasarian:
Hybrid misclassification minimization.
Adv. Comput. Math. 5(1): 127-136 (1996) |
1995 |
8 | | W. Nick Street,
Olvi L. Mangasarian,
W. H. Wolberg:
An Inductive Learning Approach to Prognostic Prediction.
ICML 1995: 522-530 |
7 | | Chunhui Chen,
Olvi L. Mangasarian:
Smoothing methods for convex inequalities and linear complementarity problems.
Math. Program. 71: 51-69 (1995) |
1994 |
6 | | Olvi L. Mangasarian,
J. Ren:
New improved error bounds for the linear complementarity problem.
Math. Program. 66: 241-255 (1994) |
1993 |
5 | EE | Olvi L. Mangasarian,
Mikhail V. Solodov:
Backpropagation Convergence via Deterministic Nonmonotone Perturbed Minimization.
NIPS 1993: 383-390 |
4 | | Olvi L. Mangasarian,
Mikhail V. Solodov:
Nonlinear complementarity as unconstrained and constrained minimization.
Math. Program. 62: 277-297 (1993) |
1992 |
3 | | Michael C. Ferris,
Olvi L. Mangasarian:
Minimum principle sufficiency.
Math. Program. 57: 1-14 (1992) |
1990 |
2 | | Olvi L. Mangasarian:
Error Bounds for Nondegenerate Monotone Linear Complementarity Problems.
Math. Program. 48: 437-445 (1990) |
1984 |
1 | EE | Olvi L. Mangasarian:
Sparsity-preserving sor algorithms for separable quadratic and linear programming.
Computers & OR 11(2): 105-112 (1984) |