Olvi L. Mangasarian

O. L. Mangasarian

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)

Coauthor Index

1	Paul S. Bradley	[10] [13]
2	Chunhui Chen	[7] [9]
3	Michael C. Ferris	[3]
4	Glenn Fung	[18] [21] [23] [24] [25] [26] [27] [29] [35]
5	Gang Kou	[34]
6	David R. Musicant	[15] [16] [17] [19] [22]
7	J. Ren	[6]
8	Jude W. Shavlik	[25] [27] [28]
9	Alexander J. Smola (Alex J. Smola)	[23]
10	Mikhail V. Solodov	[4] [5]
11	W. Nick Street	[8] [10]
12	Edward W. Wild	[28] [31] [33] [35] [36]
13	W. H. Wolberg	[8]

Colors in the list of coauthors