The golden chain - Rejoinder
成果类型:
Editorial Material
署名作者:
Zhang, T
署名单位:
International Business Machines (IBM); IBM USA
刊物名称:
ANNALS OF STATISTICS
ISSN/ISSBN:
0090-5364
发表日期:
2004
页码:
128-134
关键词:
Classification
摘要:
The discussants contributed different views on several aspects of large margin classification methods and outlined some interesting future directions. I would like to thank them for the stimulating comments. In the following I will mainly focus on two issues. One is the conditional probability modeling aspect of large margin classification methods and the other is related to properties of greedy algorithms used in boosting procedures.