Events Calendar

CS Colloq: Dr. Jingrui He

Talk Title: Rare Category Analysis
Speaker: Dr. Jingrui He
Host: Prof. Gaurav SukhatmeAbstract:
Imbalanced data sets are prevalent in many real applications. It is often the case that people are only interested in the minority classes. The focus of my thesis is rare category analysis, which refers to the problem of detecting and characterizing the minority classes in an unlabeled, imbalanced data set. In this talk, I will introduce different aspects of rare category analysis, including rare category detection for detecting examples from new minority classes, rare category characterization for identifying examples from known minority classes, co-selection of relevant features and examples from the minority classes, etc. Along with theoretical analysis, I will also present experimental results showing the effectiveness of the proposed algorithms.Bio:
Jingrui He is a Ph.D candidate in Machine Learning Department at Carnegie Mellon University. She holds an M.S. degree and a B.S. degree from Tsinghua University, P.R. China. Her research interests include statistical learning for rare category analysis, active learning, multimedia, and spam filtering.

Location: Seaver Science Library (SSL) - 150

Audiences: Everyone Is Invited

Contact: CS Front Desk