SIA OpenIR  > 信息服务与智能控制技术研究室
Fast adaboost algorithm based on weight constraints
Yuan S(袁双); Lv CX(吕赐兴)
Department信息服务与智能控制技术研究室
Conference Name2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
Conference DateJune 8-12, 2015
Conference PlaceShenyang, China
Source Publication2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
PublisherIEEE
Publication PlacePiscataway, NJ, USA
2015
Pages825-828
Indexed ByEI ; CPCI(ISTP)
EI Accession number20161402187818
WOS IDWOS:000380502300157
Contribution Rank1
ISSN2379-7711
ISBN978-1-4799-8730-6
KeywordAdaboost Weight Constraint Feature Space Weight Update
AbstractThis paper presents a fast Adaboost algorithm based on weight constraints, which can shorten the training time when dealing with a larger training data set. In the algorithm, the sample feature space is divided into several groups. Considering that the number of groups and sample dimension feature space are closely related, when the feature space dimension exceeds the number set group, the sample according to the set threshold array searches. Meanwhile, considering the sample weights update related to the number of misclassification samples, sample weights update adds to the number of misclassification, limiting its next iteration of the weights, thereby effectively preventing excessive weight adaptation phenomenon. Experiment shows that the algorithm achieves better results on UCI datasets.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/17372
Collection信息服务与智能控制技术研究室
Affiliation1.Dept. of Information Services and Intelligent Control, Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang, China
2.Dept. of Information Services and Intelligent Control, University of Chinese Academy of Sciences, Beijing, China
Recommended Citation
GB/T 7714
Yuan S,Lv CX. Fast adaboost algorithm based on weight constraints[C]. Piscataway, NJ, USA:IEEE,2015:825-828.
Files in This Item: Download All
File Name/Size DocType Version Access License
Fast adaboost algori(208KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yuan S(袁双)]'s Articles
[Lv CX(吕赐兴)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yuan S(袁双)]'s Articles
[Lv CX(吕赐兴)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yuan S(袁双)]'s Articles
[Lv CX(吕赐兴)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Fast adaboost algorithm based on weight constraints.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.