主 题: Some Recent Advances in Classification: a Statistical Perspective（二）
报告人: Prof.Ji Zhu (University of Michigan)
时 间: 2006-07-13 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, from the
point of view of a statistician.
