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Olvi L. Mangasarian: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Glenn Fung, Olvi L. Mangasarian, Jude W. Shavlik
    Knowledge-Based Nonlinear Kernel Classifiers. [Citation Graph (0, 0)][DBLP]
    COLT, 2003, pp:102-113 [Conf]
  2. Paul S. Bradley, Olvi L. Mangasarian
    Feature Selection via Concave Minimization and Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:82-90 [Conf]
  3. W. Nick Street, Olvi L. Mangasarian, W. H. Wolberg
    An Inductive Learning Approach to Prognostic Prediction. [Citation Graph (0, 0)][DBLP]
    ICML, 1995, pp:522-530 [Conf]
  4. Olvi L. Mangasarian
    Data Mining via Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    System Modelling and Optimization, 2001, pp:91-112 [Conf]
  5. Glenn Fung, Olvi L. Mangasarian
    Data selection for support vector machine classifiers. [Citation Graph (0, 0)][DBLP]
    KDD, 2000, pp:64-70 [Conf]
  6. Glenn Fung, Olvi L. Mangasarian
    Proximal support vector machine classifiers. [Citation Graph (0, 0)][DBLP]
    KDD, 2001, pp:77-86 [Conf]
  7. Paul S. Bradley, Olvi L. Mangasarian, W. Nick Street
    Clustering via Concave Minimization. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:368-374 [Conf]
  8. Glenn Fung, Olvi L. Mangasarian, Jude W. Shavlik
    Knowledge-Based Support Vector Machine Classifiers. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:521-528 [Conf]
  9. Olvi L. Mangasarian, Mikhail V. Solodov
    Backpropagation Convergence via Deterministic Nonmonotone Perturbed Minimization. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:383-390 [Conf]
  10. Olvi L. Mangasarian, David R. Musicant
    Active Support Vector Machine Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:577-583 [Conf]
  11. Glenn Fung, Olvi L. Mangasarian
    Incremental Support Vector Machine Classification. [Citation Graph (0, 0)][DBLP]
    SDM, 2002, pp:- [Conf]
  12. Olvi L. Mangasarian
    Sparsity-preserving sor algorithms for separable quadratic and linear programming. [Citation Graph (0, 0)][DBLP]
    Computers & OR, 1984, v:11, n:2, pp:105-112 [Journal]
  13. Olvi L. Mangasarian
    Mathematical Programming in Data Mining. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 1997, v:1, n:2, pp:183-201 [Journal]
  14. Glenn Fung, Olvi L. Mangasarian
    Finite Newton method for Lagrangian support vector machine classification. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:55, n:1-2, pp:39-55 [Journal]
  15. Glenn Fung, Olvi L. Mangasarian, Alex J. Smola
    Minimal Kernel Classifiers. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:3, n:, pp:303-321 [Journal]
  16. Olvi L. Mangasarian, David R. Musicant
    Lagrangian Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2001, v:1, n:, pp:161-177 [Journal]
  17. Olvi L. Mangasarian, Jude W. Shavlik, Edward W. Wild
    Knowledge-Based Kernel Approximation. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2004, v:5, n:, pp:1127-1141 [Journal]
  18. Olvi L. Mangasarian
    Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:1517-1530 [Journal]
  19. Glenn Fung, Olvi L. Mangasarian
    Multicategory Proximal Support Vector Machine Classifiers. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2005, v:59, n:1-2, pp:77-97 [Journal]
  20. Olvi L. Mangasarian, David R. Musicant
    Large Scale Kernel Regression via Linear Programming. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:46, n:1-3, pp:255-269 [Journal]
  21. Chunhui Chen, Olvi L. Mangasarian
    Smoothing methods for convex inequalities and linear complementarity problems. [Citation Graph (0, 0)][DBLP]
    Math. Program., 1995, v:71, n:, pp:51-69 [Journal]
  22. Michael C. Ferris, Olvi L. Mangasarian
    Minimum principle sufficiency. [Citation Graph (0, 0)][DBLP]
    Math. Program., 1992, v:57, n:, pp:1-14 [Journal]
  23. Olvi L. Mangasarian
    Error Bounds for Nondegenerate Monotone Linear Complementarity Problems. [Citation Graph (0, 0)][DBLP]
    Math. Program., 1990, v:48, n:, pp:437-445 [Journal]
  24. Olvi L. Mangasarian
    Error bounds for nondifferentiable convex inequalities under a strong Slater constraint qualification. [Citation Graph (0, 0)][DBLP]
    Math. Program., 1998, v:83, n:, pp:187-194 [Journal]
  25. Olvi L. Mangasarian, J. Ren
    New improved error bounds for the linear complementarity problem. [Citation Graph (0, 0)][DBLP]
    Math. Program., 1994, v:66, n:, pp:241-255 [Journal]
  26. Olvi L. Mangasarian, Mikhail V. Solodov
    Nonlinear complementarity as unconstrained and constrained minimization. [Citation Graph (0, 0)][DBLP]
    Math. Program., 1993, v:62, n:, pp:277-297 [Journal]
  27. Olvi L. Mangasarian, David R. Musicant
    Robust Linear and Support Vector Regression. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2000, v:22, n:9, pp:950-955 [Journal]
  28. Olvi L. Mangasarian, Edward W. Wild
    Multisurface Proximal Support Vector Machine Classification via Generalized Eigenvalues. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2006, v:28, n:1, pp:69-74 [Journal]

  29. Privacy-Preserving Classification of Horizontally Partitioned Data via Random Kernels. [Citation Graph (, )][DBLP]


  30. Feature Selection for Nonlinear Kernel Support Vector Machines. [Citation Graph (, )][DBLP]


  31. Hybrid misclassification minimization. [Citation Graph (, )][DBLP]


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