Speaker: Qiang Wu

Affiliation: Middle Tennessee State University

In this talk, I will give an introduction to the application of machine learning theory in stylometry analysis. Support vector machine is a useful tool for pattern recognition problems. It can be used to search for relevant features and build classifiers. The recursive elimination technique and pseudo aggregate model help to stabilize the feature ranking. Applications in classification of painting styles and analysis of Chinese classical novels will be discussed.