Patents by Inventor Olvi L. Mangasarian

Olvi L. Mangasarian has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Input feature and kernel selection for support vector machine classification
    Patent number: 7421417
    Abstract: A feature selection technique for support vector machine (SVM) classification makes use of fast Newton method that suppresses input space features for a linear programming formulation of a linear SVM classifier, or suppresses kernel functions for a linear programming formulation of a nonlinear SVM classifier. The techniques may be implemented with a linear equation solver, without the need for specialized linear programming packages. The feature selection technique may be applicable to linear or nonlinear SVM classifiers. The technique may involve defining a linear programming formulation of a SVM classifier, solving an exterior penalty function of a dual of the linear programming formulation to produce a solution to the SVM classifier using a Newton method, and selecting an input set for the SVM classifier based on the solution.
    Type: Grant
    Filed: August 28, 2003
    Date of Patent: September 2, 2008
    Assignee: Wisconsin Alumni Research Foundation
    Inventors: Olvi L. Mangasarian, Glenn M. Fung
  • Lagrangian support vector machine
    Patent number: 7395253
    Abstract: A Lagrangian support vector machine solves problems having massive data sets (e.g.
    Type: Grant
    Filed: April 1, 2002
    Date of Patent: July 1, 2008
    Assignee: Wisconsin Alumni Research Foundation
    Inventors: Olvi L. Mangasarian, David R. Musicant
  • Lagrangian support vector machine
    Publication number: 20030093393
    Abstract: A Lagrangian support vector machine solves problems having massive data sets (e.g.
    Type: Application
    Filed: April 1, 2002
    Publication date: May 15, 2003
    Inventors: Olvi L. Mangasarian, David R. Musicant