Design for fast adaboost with feature selection

Xiao Long Liang, Wei Hua Li, Xin Lin

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Since the original Adaboost algorithm is very time-consuming in training, we have designed an improved Adaboost, which adds a process of feature selection to the original Adaboost algorithm. After each round of training, we retain the features whose error rate to classify the samples are relatively low and remove the features with high error rate. In this way the time for the next training is reduced, and the whole algorithm is accelerated.

源语言英语
主期刊名Manufacturing Science and Technology (ICMST2013)
566-569
页数4
DOI
出版状态已出版 - 2013
活动4th International Conference on Manufacturing Science and Technology, ICMST 2013 - Dubai, 阿拉伯联合酋长国
期限: 3 8月 20134 8月 2013

出版系列

姓名Advanced Materials Research
816-817
ISSN(印刷版)1022-6680

会议

会议4th International Conference on Manufacturing Science and Technology, ICMST 2013
国家/地区阿拉伯联合酋长国
Dubai
时期3/08/134/08/13

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