Wisconsin Alumni Research Foundation

Information Technology
Information Technology
Lagrangian Support Vector Machine
WARF: P00388US

Inventors: Olvi Mangasarian, David Musicant


The Invention
A Lagrangian support vector machine solves problems having massive data sets (e.g., millions of sample points) by defining an input matrix representing a set of data having an input space with a dimension of n that corresponds to a number of features associated with the data set, generating a support vector machine to solve a system of linear equations corresponding to the input matrix with the system of linear equations defined by a positive definite matrix, and calculating a separating surface with the support vector machine to divide the set of data into two subsets of data
For current licensing status, please contact Emily Bauer at [javascript protected email address] or 608-960-9842

WARF