Department of Statistics Seminar
North Carolina State University

presents

Yufeng Liu   
University of North Carolina at Chapel Hill

Reinforced multicategory Support Vector Machines

Abstract:

The Support vector machine (SVM) is a very popular machine learning method for classification. Despite its great success, the SVM was originally designed for binary classification. Extensions to the multicategory case are important for general classification problems. In this talk, I will present a new class of multicategory hinge loss functions, namely reinforced hinge loss functions. Both theoretical and numerical properties of the reinforced multicategory SVMs (MSVMs) are explored. Connections with the one-versus-rest formulation will be discussed as well. Our results indicate that the proposed reinforced MSVMs give competitive and stable performance when compared with existing approaches.

Friday, November 21, 2008

3:35-4:35 pm

321 Riddick

Refreshments will be served in the Riddick Reading Room at 3:00pm.

NOTE: No food or drink is allowed in any of the classrooms in Riddick Hall.