主 题: Some Recent Advances in Classification: a Statistica Perspective
报告人: Prof. Ji Zhu (University of Michigan)
时 间: 2006-07-06 下午 2:00 - 3:30
地 点: 理科一号楼 1114
The support vector machine and boosting are widely used tools for
predicting or classifying noisy data. The ideas were introduced by Vapnik
(1995) and Freund & Schapire (1996). These two methods have attracted a
lot of attention due to their great success in data modeling tasks. They
are now being applied to medical diagnosis, bioinformatics and genetic
modeling, chemical process control, shape, handwriting, speech and face
recognition, financial modeling, and a wide range of other important
practical problems. In this talk, I will give a tutorial on these two
methods (together with some of our contributions), from the point of view
of a statistician.
