O. L. Mangasarian
List of publications from the DBLP Bibliography Server - FAQ
| 2009 | ||
|---|---|---|
| 41 | Olvi L. Mangasarian, Edward W. Wild, Glenn Fung: Proximal Knowledge-based Classification. Statistical Analysis and Data Mining 1(4): 215-222 (2009) | |
| 2008 | ||
| 40 | Olvi L. Mangasarian, Edward W. Wild: Privacy-Preserving Classification of Horizontally Partitioned Data via Random Kernels. DMIN 2008: 473-479 | |
| 39 | Olvi L. Mangasarian, Edward W. Wild: Nonlinear Knowledge-Based Classification. IEEE Transactions on Neural Networks 19(10): 1826-1832 (2008) | |
| 38 | Olvi L. Mangasarian, Edward W. Wild, Glenn Fung: Privacy-preserving classification of vertically partitioned data via random kernels. TKDD 2(3): (2008) | |
| 2007 | ||
| 37 | Olvi L. Mangasarian, Gang Kou: Feature Selection for Nonlinear Kernel Support Vector Machines. ICDM Workshops 2007: 231-236 | |
| 36 | Olvi L. Mangasarian, Edward W. Wild: Nonlinear Knowledge in Kernel Approximation. IEEE Transactions on Neural Networks 18(1): 300-306 (2007) | |
| 35 | O. L. Mangasarian: Absolute value equation solution via concave minimization. Optimization Letters 1(1): 3-8 (2007) | |
| 2006 | ||
| 34 | 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) | |
| 33 | Olvi L. Mangasarian: Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization. Journal of Machine Learning Research 7: 1517-1530 (2006) | |
| 2005 | ||
| 32 | Glenn Fung, Olvi L. Mangasarian: Multicategory Proximal Support Vector Machine Classifiers. Machine Learning 59(1-2): 77-97 (2005) | |
| 2004 | ||
| 31 | Olvi L. Mangasarian, Jude W. Shavlik, Edward W. Wild: Knowledge-Based Kernel Approximation. Journal of Machine Learning Research 5: 1127-1141 (2004) | |
| 2003 | ||
| 30 | Glenn Fung, Olvi L. Mangasarian, Jude W. Shavlik: Knowledge-Based Nonlinear Kernel Classifiers. COLT 2003: 102-113 | |
| 29 | Glenn Fung, Olvi L. Mangasarian: Finite Newton method for Lagrangian support vector machine classification. Neurocomputing 55(1-2): 39-55 (2003) | |
| 2002 | ||
| 28 | Glenn Fung, Olvi L. Mangasarian, Jude W. Shavlik: Knowledge-Based Support Vector Machine Classifiers. NIPS 2002: 521-528 | |
| 27 | Glenn Fung, Olvi L. Mangasarian: Incremental Support Vector Machine Classification. SDM 2002 | |
| 26 | Glenn Fung, Olvi L. Mangasarian, Alex J. Smola: Minimal Kernel Classifiers. Journal of Machine Learning Research 3: 303-321 (2002) | |
| 25 | Olvi L. Mangasarian, David R. Musicant: Large Scale Kernel Regression via Linear Programming. Machine Learning 46(1-3): 255-269 (2002) | |
| 2001 | ||
| 24 | Glenn Fung, Olvi L. Mangasarian: Proximal support vector machine classifiers. KDD 2001: 77-86 | |
| 23 | Olvi L. Mangasarian: Data Mining via Support Vector Machines. System Modelling and Optimization 2001: 91-112 | |
| 22 | Olvi L. Mangasarian, David R. Musicant: Lagrangian Support Vector Machines. Journal of Machine Learning Research 1: 161-177 (2001) | |
| 2000 | ||
| 21 | Glenn Fung, Olvi L. Mangasarian: Data selection for support vector machine classifiers. KDD 2000: 64-70 | |
| 20 | Olvi L. Mangasarian, David R. Musicant: Active Support Vector Machine Classification. NIPS 2000: 577-583 | |
| 19 | Olvi L. Mangasarian, David R. Musicant: Robust Linear and Support Vector Regression. IEEE Trans. Pattern Anal. Mach. Intell. 22(9): 950-955 (2000) | |
| 1999 | ||
| 18 | Olvi L. Mangasarian, David R. Musicant: Successive overrelaxation for support vector machines. IEEE Transactions on Neural Networks 10(5): 1032-1037 (1999) | |
| 17 | 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) | |
| 16 | O. L. Mangasarian: Arbitrary-norm separating plane. Oper. Res. Lett. 24(1-2): 15-23 (1999) | |
| 1998 | ||
| 15 | Paul S. Bradley, Olvi L. Mangasarian: Feature Selection via Concave Minimization and Support Vector Machines. ICML 1998: 82-90 | |
| 14 | Paul S. Bradley, Olvi L. Mangasarian, W. Nick Street: Feature Selection via Mathematical Programming. INFORMS Journal on Computing 10(2): 209-217 (1998) | |
| 13 | Olvi L. Mangasarian: Error bounds for nondifferentiable convex inequalities under a strong Slater constraint qualification. Math. Program. 83: 187-194 (1998) | |
| 1997 | ||
| 12 | Olvi L. Mangasarian: Mathematical Programming in Data Mining. Data Min. Knowl. Discov. 1(2): 183-201 (1997) | |
| 1996 | ||
| 11 | Paul S. Bradley, Olvi L. Mangasarian, W. Nick Street: Clustering via Concave Minimization. NIPS 1996: 368-374 | |
| 10 | Chunhui Chen, Olvi L. Mangasarian: Hybrid misclassification minimization. Adv. Comput. Math. 5(1): 127-136 (1996) | |
| 1995 | ||
| 9 | W. Nick Street, Olvi L. Mangasarian, W. H. Wolberg: An Inductive Learning Approach to Prognostic Prediction. ICML 1995: 522-530 | |
| 8 | Chunhui Chen, Olvi L. Mangasarian: Smoothing methods for convex inequalities and linear complementarity problems. Math. Program. 71: 51-69 (1995) | |
| 1994 | ||
| 7 | Olvi L. Mangasarian, J. Ren: New improved error bounds for the linear complementarity problem. Math. Program. 66: 241-255 (1994) | |
| 1993 | ||
| 6 | Olvi L. Mangasarian, Mikhail V. Solodov: Backpropagation Convergence via Deterministic Nonmonotone Perturbed Minimization. NIPS 1993: 383-390 | |
| 5 | O. L. Mangasarian: Mathematical Programming in Neural Networks. INFORMS Journal on Computing 5(4): 349-360 (1993) | |
| 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 | Olvi L. Mangasarian: Sparsity-preserving sor algorithms for separable quadratic and linear programming. Computers & OR 11(2): 105-112 (1984) | |
| 1 | Paul S. Bradley | [11] [14] [15] [17] |
| 2 | Chunhui Chen | [8] [10] |
| 3 | Usama M. Fayyad | [17] |
| 4 | Michael C. Ferris | [3] |
| 5 | Glenn Fung | [21] [24] [26] [27] [28] [29] [30] [32] [38] [41] |
| 6 | Gang Kou | [37] |
| 7 | David R. Musicant | [18] [19] [20] [22] [25] |
| 8 | J. Ren | [7] |
| 9 | Jude W. Shavlik | [28] [30] [31] |
| 10 | Alexander J. Smola (Alex J. Smola) | [26] |
| 11 | Mikhail V. Solodov | [4] [6] |
| 12 | W. Nick Street | [9] [11] [14] |
| 13 | Edward W. Wild | [31] [34] [36] [38] [39] [40] [41] |
| 14 | W. H. Wolberg | [9] |