Combining weak-link co-evolution binary artificial fish swarm algorithm and complementarity measure for ensemble pruning-Reference-Cited by-同舟云学术

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Combining weak-link co-evolution binary artificial fish swarm algorithm and complementarity measure for ensemble pruning

Published:2018-08-26 Issue:2 Volume:35 Page:1431-1444
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Zhu Xuhui¹²,Ni Zhiwei¹²,Zhang Gongrang¹²,Jin Feifei¹²,Cheng Meiying³,Li Jingming⁴

Affiliation:

1. School of Management, Hefei University of Technology, Hefei, China

2. Key Laboratory of Process Optimization and Intelligent Decision-making, Ministry of Education, Hefei, China

3. Business School, Huzhou University, Huzhou, China

4. School of Management Science and Engineering, Anhui University of Finance and Economics, Bengbu, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference35 articles.

1. Recursive reduced kernel based extremelearning machine for aero-engine fault pattern recognition;You;Neurocomputing,2016

2. A survey of intrusion detection systems based on enble and hybrid classifiers;Aburomman;Computers & Security,2017

3. Ordering-based pruning for improving the performance of enbles of classifiers inthe framework of imbalanced datasets;Galar;Information Sciences,2016

4. An effective enble pruning algorithm based on frequent patterns;Zhou;Knowledge-Based Systems,2014

5. A.Suárez, An analysis of enble pruning techniques based on ordered aggregation;Martínez-Muñoz;IEEE Transactions on Pattern Analysis andMachine Intelligence,2009

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1. A novel multi-stage ensemble model with multiple K-means-based selective undersampling: An application in credit scoring;Journal of Intelligent & Fuzzy Systems;2021-04-22

2. A novel ensemble pruning approach based on information exchange glowworm swarm optimization and complementarity measure;Journal of Intelligent & Fuzzy Systems;2020-12-04

3. Graph-based dynamic ensemble pruning for facial expression recognition;Applied Intelligence;2019-03-16

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