Now showing items 40-46 of 46

    • Semismooth Support Vector Machines 

      Munson, Todd; Ferris, Michael (2000-11-29)
      The linear support vector machine can be posed as a quadratic pro- gram in a variety of ways. In this paper, we look at a formulation using the two-norm for the misclassi cation error that leads to a positive de - nite ...
    • Set Containment Characterization 

      Mangasarian, Olvi (2001)
      Characterization of the containment of a polyhedral set in a closed halfspace, a key factor in generating knowledge-based support vector machine classi ers [7], is extended to the following: (i) Containment of one ...
    • SIMULATION OPTIMIZATION BASED ON A HETEROGENEOUS COMPUTING ENVIRONMENT 

      Ferris, Michael; Sinapiromsaran, Krung (2001)
      We solve a simulation optimization using a deterministic nonlinear solver based on the sample-path concept. The method used a quadratic model built from a collection of surrounding simulation points. The scheme does not ...
    • Slice Models in General Purpose Modeling Systems 

      Meta, Voelker; Ferris, Michael (2000-12-14)
      Slice models are collections of mathematical programs with the same structure but di erent data. Examples of slice models appear in Data Envelopment Analysis, where they are used to evaluate e ciency, and cross-validation, ...
    • SSVM: A Amooth Support Vector Machine for Classification 

      Mangasarian, Olvi; Lee, Yuh-Jye (1999)
      Smoothing methods, extensively used for solving important math- ematical programming problems and applications, are applied here to generate and solve an unconstrained smooth reformulation of the support vector machine ...
    • Support Vector Machine Classi cation via Parameterless Robust Linear Programming 

      Mangasarian, Olvi (2003)
      We show that the problem of minimizing the sum of arbitrary-norm real distances to misclassi ed points, from a pair of parallel bounding planes of a classi cation problem, divided by the margin (distance) be- tween the ...
    • Survival-Time Classi cation of Breast Cancer Patients 

      Wolberg, William; Mangasarian, Olvi; Lee, Yuh-Jye (2001)
      The identi cation of breast cancer patients for whom chemother- apy could prolong survival time is treated here as a data mining prob- lem. This identi cation is achieved by clustering 253 breast cancer patients into ...