More robust and better: a multiple kernel support vector machine ensemble approach for traffic incident detection-Reference-Cited by-同舟云学术

More robust and better: a multiple kernel support vector machine ensemble approach for traffic incident detection

Published:2013-05-06 Issue:7 Volume:48 Page:858-875
ISSN:0197-6729
Container-title:Journal of Advanced Transportation
language:en
Short-container-title:J. Adv. Transp.

Author:

Xiao Jianli¹,Gao Xiang²,Kong Qing-Jie¹,Liu Yuncai¹

Affiliation:

1. Department of Automation; Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China; 800 Dongchuan Rd., Minhang District Shanghai 200240 China

2. Shanghai Urban Planning and Design Research Institute; No.331, Tongren Road Shanghai 200240 China

Publisher

Wiley

Subject

Strategy and Management,Computer Science Applications,Mechanical Engineering,Economics and Econometrics,Automotive Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/atr.1231/fullpdf

Reference36 articles.

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4. Bach F Lanckriet G Jordan M Multiple kernel learning, conic duality, and the SMO algorithm 2004

5. Bagging predictors;Breiman;Machine Learning,1996

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