O. L. Mangasarian
List of publications from the DBLP Bibliography Server - FAQ
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 | 2013 | |
|---|---|---|
| j44 |      | Olvi L. Mangasarian: Absolute value equation solution via dual complementarity. Optimization Letters 7(4): 625-630 (2013) |
| j43 | | Glenn Fung, Olvi L. Mangasarian: Privacy-preserving linear and nonlinear approximation via linear programming. Optimization Methods and Software 28(1): 207-216 (2013) |
| 2012 | ||
| j42 | | Olvi L. Mangasarian: Privacy-preserving horizontally partitioned linear programs. Optimization Letters 6(3): 431-436 (2012) |
| j41 | | Olvi L. Mangasarian: Primal-dual bilinear programming solution of the absolute value equation. Optimization Letters 6(7): 1527-1533 (2012) |
| 2011 | ||
| j40 | | O. L. Mangasarian, Benjamin Recht: Probability of unique integer solution to a system of linear equations. European Journal of Operational Research 214(1): 27-30 (2011) |
| j39 | | Glenn Fung, O. L. Mangasarian: Equivalence of Minimal ℓ0- and ℓp-Norm Solutions of Linear Equalities, Inequalities and Linear Programs for Sufficiently Small p. J. Optimization Theory and Applications 151(1): 1-10 (2011) |
| j38 | | |
| 2010 | ||
| j37 | | O. L. Mangasarian, Michael C. Ferris: Uniqueness of integer solution of linear equations. Optimization Letters 4(4): 559-565 (2010) |
| p1 | | Olvi L. Mangasarian, Edward W. Wild: Privacy-Preserving Random Kernel Classification of Checkerboard Partitioned Data. Data Mining 2010: 375-387 |
| 2009 | ||
| j36 | | O. L. Mangasarian: A generalized Newton method for absolute value equations. Optimization Letters 3(1): 101-108 (2009) |
| j35 | | O. L. Mangasarian: Knapsack feasibility as an absolute value equation solvable by successive linear programming. Optimization Letters 3(2): 161-170 (2009) |
| j34 | | Olvi L. Mangasarian, Edward W. Wild, Glenn Fung: Proximal Knowledge-based Classification. Statistical Analysis and Data Mining 1(4): 215-222 (2009) |
| 2008 | ||
| j33 | | Olvi L. Mangasarian, Edward W. Wild, Glenn Fung: Privacy-preserving classification of vertically partitioned data via random kernels. TKDD 2(3) (2008) |
| j32 | | Olvi L. Mangasarian, Edward W. Wild: Nonlinear Knowledge-Based Classification. IEEE Transactions on Neural Networks 19(10): 1826-1832 (2008) |
| c13 |  | Olvi L. Mangasarian, Edward W. Wild: Privacy-Preserving Classification of Horizontally Partitioned Data via Random Kernels. DMIN 2008: 473-479 |
| 2007 | ||
| j31 | | |
| j30 | | O. L. Mangasarian: Absolute value equation solution via concave minimization. Optimization Letters 1(1): 3-8 (2007) |
| j29 | | Olvi L. Mangasarian, Edward W. Wild: Nonlinear Knowledge in Kernel Approximation. IEEE Transactions on Neural Networks 18(1): 300-306 (2007) |
| c12 | | Olvi L. Mangasarian, Gang Kou: Feature Selection for Nonlinear Kernel Support Vector Machines. ICDM Workshops 2007: 231-236 |
| 2006 | ||
| j28 | | O. L. Mangasarian, J. B. Rosen, M. E. Thompson: Convex Kernel Underestimation of Functions with Multiple Local Minima. Comp. Opt. and Appl. 34(1): 35-45 (2006) |
| j27 | | Olvi L. Mangasarian: Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization. Journal of Machine Learning Research 7: 1517-1530 (2006) |
| j26 | | 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) |
| 2005 | ||
| j25 | | Glenn Fung, Olvi L. Mangasarian: Multicategory Proximal Support Vector Machine Classifiers. Machine Learning 59(1-2): 77-97 (2005) |
| j24 | | Olvi L. Mangasarian: Knowledge-Based Linear Programming. SIAM Journal on Optimization 15(2): 375-382 (2005) |
| 2004 | ||
| j23 | | Glenn Fung, O. L. Mangasarian: A Feature Selection Newton Method for Support Vector Machine Classification. Comp. Opt. and Appl. 28(2): 185-202 (2004) |
| j22 | | Olvi L. Mangasarian, Jude W. Shavlik, Edward W. Wild: Knowledge-Based Kernel Approximation. Journal of Machine Learning Research 5: 1127-1141 (2004) |
| 2003 | ||
| j21 | | Yuh-Jye Lee, Olvi L. Mangasarian, W. H. Wolberg: Survival-Time Classification of Breast Cancer Patients. Comp. Opt. and Appl. 25(1-3): 151-166 (2003) |
| j20 | | Glenn Fung, Olvi L. Mangasarian: Finite Newton method for Lagrangian support vector machine classification. Neurocomputing 55(1-2): 39-55 (2003) |
| c11 | | Glenn Fung, Olvi L. Mangasarian, Jude W. Shavlik: Knowledge-Based Nonlinear Kernel Classifiers. COLT 2003: 102-113 |
| 2002 | ||
| j19 | | Glenn Fung, Olvi L. Mangasarian, Alex J. Smola: Minimal Kernel Classifiers. Journal of Machine Learning Research 3: 303-321 (2002) |
| j18 | | Olvi L. Mangasarian, David R. Musicant: Large Scale Kernel Regression via Linear Programming. Machine Learning 46(1-3): 255-269 (2002) |
| c10 | | Glenn Fung, Olvi L. Mangasarian, Jude W. Shavlik: Knowledge-Based Support Vector Machine Classifiers. NIPS 2002: 521-528 |
| c9 | | |
| 2001 | ||
| j17 | | Yuh-Jye Lee, O. L. Mangasarian: SSVM: A Smooth Support Vector Machine for Classification. Comp. Opt. and Appl. 20(1): 5-22 (2001) |
| j16 | | Olvi L. Mangasarian, David R. Musicant: Lagrangian Support Vector Machines. Journal of Machine Learning Research 1: 161-177 (2001) |
| c8 | | Olvi L. Mangasarian: Data Mining via Support Vector Machines. System Modelling and Optimization 2001: 91-112 |
| c7 | | |
| 2000 | ||
| j15 | | Olvi L. Mangasarian, David R. Musicant: Robust Linear and Support Vector Regression. IEEE Trans. Pattern Anal. Mach. Intell. 22(9): 950-955 (2000) |
| c6 | | Glenn Fung, Olvi L. Mangasarian: Data selection for support vector machine classifiers. KDD 2000: 64-70 |
| c5 | | Olvi L. Mangasarian, David R. Musicant: Active Support Vector Machine Classification. NIPS 2000: 577-583 |
| 1999 | ||
| j14 | | Paul S. Bradley, Usama M. Fayyad, Olvi L. Mangasarian: Mathematical Programming for Data Mining: Formulations and Challenges. INFORMS Journal on Computing 11(3): 217-238 (1999) |
| j13 | | |
| j12 | | Olvi L. Mangasarian, David R. Musicant: Successive overrelaxation for support vector machines. IEEE Transactions on Neural Networks 10(5): 1032-1037 (1999) |
| 1998 | ||
| j11 | | Paul S. Bradley, Olvi L. Mangasarian, W. Nick Street: Feature Selection via Mathematical Programming. INFORMS Journal on Computing 10(2): 209-217 (1998) |
| j10 | | Olvi L. Mangasarian: Error bounds for nondifferentiable convex inequalities under a strong Slater constraint qualification. Math. Program. 83: 187-194 (1998) |
| c4 | | Paul S. Bradley, Olvi L. Mangasarian: Feature Selection via Concave Minimization and Support Vector Machines. ICML 1998: 82-90 |
| 1997 | ||
| j9 | | Olvi L. Mangasarian: Mathematical Programming in Data Mining. Data Min. Knowl. Discov. 1(2): 183-201 (1997) |
| 1996 | ||
| j8 | | Chunhui Chen, Olvi L. Mangasarian: Hybrid misclassification minimization. Adv. Comput. Math. 5(1): 127-136 (1996) |
| c3 | | Paul S. Bradley, Olvi L. Mangasarian, W. Nick Street: Clustering via Concave Minimization. NIPS 1996: 368-374 |
| 1995 | ||
| j7 | | Chunhui Chen, Olvi L. Mangasarian: Smoothing methods for convex inequalities and linear complementarity problems. Math. Program. 71: 51-69 (1995) |
| c2 | | W. Nick Street, Olvi L. Mangasarian, W. H. Wolberg: An Inductive Learning Approach to Prognostic Prediction. ICML 1995: 522-530 |
| 1994 | ||
| j6 | | Olvi L. Mangasarian, J. Ren: New improved error bounds for the linear complementarity problem. Math. Program. 66: 241-255 (1994) |
| 1993 | ||
| j5 | | O. L. Mangasarian: Mathematical Programming in Neural Networks. INFORMS Journal on Computing 5(4): 349-360 (1993) |
| j4 | | Olvi L. Mangasarian, Mikhail V. Solodov: Nonlinear complementarity as unconstrained and constrained minimization. Math. Program. 62: 277-297 (1993) |
| c1 | | Olvi L. Mangasarian, Mikhail V. Solodov: Backpropagation Convergence via Deterministic Nonmonotone Perturbed Minimization. NIPS 1993: 383-390 |
| 1992 | ||
| j3 | | Michael C. Ferris, Olvi L. Mangasarian: Minimum principle sufficiency. Math. Program. 57: 1-14 (1992) |
| 1990 | ||
| j2 | | Olvi L. Mangasarian: Error Bounds for Nondegenerate Monotone Linear Complementarity Problems. Math. Program. 48: 437-445 (1990) |
| 1984 | ||
| j1 | | Olvi L. Mangasarian: Sparsity-preserving sor algorithms for separable quadratic and linear programming. Computers & OR 11(2): 105-112 (1984) |
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