Author:
Wang Linjing,Mo Tianlan,Wang Xuetao,Chen Wentao,He Qiang,Li Xin,Zhang Shuxu,Yang Ruimeng,Wu Jialiang,Gu Xuejun,Wei Jun,Xie Peiliang,Zhou Linghong,Zhen Xin
Funder
National Natural Science Foundation of China
Ministry of Education Industry-Academic Cooperation Project
Guangzhou Hygiene and Health Scientific Project
Natural Science Foundation of Guangdong Province in China
Science and Technology Program of Guangzhou in China
Chenzhou Science and Technology Project
Subject
Artificial Intelligence,Information Systems and Management,Management Information Systems,Software
Reference82 articles.
1. Ensemble methods: A review;Re;Adv. Mach. Learn. Data Min. Astron.,2012
2. A review of ensemble methods in bioinformatics;Pengyi;Curr. Bioinform.,2010
3. R. Saini, S.K. Ghosh, Ensemble classifiers in remote sensing: A review, in: 2017 International Conference on Computing, Communication and Automation, ICCCA, 2017, pp. 1148–1152, Publishing.
4. J. Vanerio, P. Casas, Ensemble-learning approaches for network security and anomaly detection, in: Proceedings of the Workshop on Big Data Analytics and Machine Learning for Data Communication Networks, Los Angeles, CA, USA, 2017, pp. 1–6, Publishing.
5. Ensembles of classifiers for morphological galaxy classification;Bazell;Astrophys. J.,2001
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