NTU talk: AHCBoost: Boosting for Multi-class Classification

Title: AHCBoost: Boosting for Multi-class Classification
Speaker: Prof. Andy Chen-Hai Tsao, National Dong Hwa University
Time: 02:20pm, May 22 (Friday), 2009
Place: Room 102, CSIE building

Abstract:
AdaBoost is one of the important ensemble classifiers developed in the last decade. However, there are difficulties in applying AdaBoost for multi-class classifications. In this study, we introduce the adjustable hyperbolic cosine loss to develop a new boosting algorithm, AHCBoost. Our experiments on benchmark data sets suggest that AHCBoost is very competitive with or even better than the multi-class classifiers SVM and glmBoost. In addition to the fast reduction of training and testing errors, AHCBoost is relatively immune to overfitting and requires little parameter tuning. Some experiments for exploring the potential and limitation of using AHCBoost for ordinal response will also be reported.

Short Biography:

Professional Positions
Department of Applied Math, National Dong Hwa University
* Professor: 2005 to present
* Associate Professor: 1997 to 2005
* Assistant Professor : 1995 to 1997

Institute of Math Statistics, National Chung Cheng University
* Visiting Associate Professor: 1994 to 1995