Wednesday, May 12

JP1
Optimization in Machine Learning and Data Mining

8:00 AM-8:45 AM
Room: Capitol North/Center South
Chair: Michael C. Ferris, University of Wisconsin, Madison

Optimization theory and algorithms have played a significant role in a great variety of fields. In this presentation, contributions of mathematical programming to the following problems of machine learning and data mining will be highlighted: linear and nonlinear separation of patterns, feature selection in discrimination problems, misclassification minimization, clustering problems, parsimonious solution of linear systems, support vector machines and massive data discrimination. These and other problems can be formulated and solved as linear or quadratic programs, or as concave function minimization on a polytope.

Olvi L. Mangasarian
Department of Computer Science
University of Wisconsin, Madison

AN99 Home
OP99 Home

Program

AN Updates
OP Updates

AN Speaker Index
OP Speaker Index

Hotel

Transportation

Registration

MMD, 12/23/98