报告名称：An Introduction to Stylometry Analysis

主办单位：英国立博官网中文版

报告专家：Qiang Wu (吴强)

专家所在单位：Middle Tennessee State University

报告时间：2019年6月19日周三10: 00

报告地点：英国立博官网中文版203报告厅

专家简介：Dr. Wu received his M.S. degree from Beijing Normal University, and his Ph.D. degree from City University of Hong Kong, all in Mathematics.He is currently an Associate Professor at the Department of Mathematical Sciences, Middle Tennessee State University.His research interests include Machine Learning, Statistics, Computational Harmonic Analysis, High Dimensional Data Mining, and Applications. Dr. Wu serves as an Editor for Frontiers in Applied Mathematics and Statistics, and Scientific World Journal. He has published more than 50 SCI papers.

报告摘要：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.