JSM Preliminary Online Program
This is the preliminary program for the 2007 Joint Statistical Meetings in Salt Lake City, Utah.

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Activity Number: 80
Type: Other
Date/Time: Monday, July 30, 2007 : 8:30 AM to 10:20 AM
Sponsor: ASA
Abstract - #308190
Title: Some Recent Advances in Classification: A Statistical Perspective
Author(s): Ji Zhu*+
Companies: University of Michigan
Address: 439 West Hall, Ann Arbor, MI, 48109-1107,
Keywords:
Abstract:

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.

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Revised September, 2007