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International Journal of General Systems Volume 40, 2011 - Issue 4: Massive Data Processing by Using Machine Learning
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Articles

Feature selection for multi-class problems by using pairwise-class and all-class techniques

Mingyu You Department of Control Science and Engineering, Tongji University, Shanghai, 201804, PR China; State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210093, PR ChinaView further author information
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Guo-Zheng Li Department of Control Science and Engineering, Tongji University, Shanghai, 201804, PR ChinaCorrespondence[email protected]
Pages 381-394 | Received 16 Feb 2009, Accepted 12 Apr 2009, Published online: 10 Mar 2011

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Read on this site (3)

Yichun Peng. (2022) Feature selection for a set-valued decision information system based on fuzzy rough iterative computation model. International Journal of General Systems 51:2, pages 185-213.
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Ramón Ferri-García, Juan M. Fernández-Luna, Carlos Rodríguez-López & Palma Chillón. (2020) Data mining techniques to analyze the factors influencing active commuting to school. International Journal of Sustainable Transportation 14:4, pages 308-323.
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Kyoungmi Hwang, Kyungsik Lee & Sungsoo Park. (2017) Variable selection methods for multi-class classification using signomial function. Journal of the Operational Research Society 68:9, pages 1117-1130.
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Articles from other publishers (9)

Pei Wang, Jiali He & Zhaowen Li. (2023) Attribute reduction for hybrid data based on fuzzy rough iterative computation model. Information Sciences 632, pages 555-575.
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Liuyuan Chen, Juntao Li & Mingming Chang. (2020) Cancer Diagnosis and Disease Gene Identification via Statistical Machine Learning. Current Bioinformatics 15:9, pages 956-962.
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Li Huang, Shixing Yan, Jiamin Yuan, Zhiya Zuo, Fuping Xu, Yanzhao Lin, Mary Qu Yang, Zhimin Yang & Guo-Zheng Li. (2016) Comparing of feature selection and classification methods on report-based subhealth data. Comparing of feature selection and classification methods on report-based subhealth data.
Liu-Yuan Chen, Jie Yang, Guo-Guo Xu, Yun-Qing Liu, Jun-Tao Li & Cun-Shuan Xu. (2016) Biomarker identification of rat liver regeneration via adaptive logistic regression. International Journal of Automation and Computing 13:2, pages 191-198.
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Juntao Li, Yadi Wang, Yimin Cao & Cunshuan Xu. (2016) Weighted doubly regularized support vector machine and its application to microarray classification with noise. Neurocomputing 173, pages 595-605.
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Jianglong Song, Xi Liu, Qingqiong Deng, Wen Dai, Yibo Gao, Lin Chen, Yunling Zhang, Jialing Wang, Miao Yu, Peng Lu & Rongjuan Guo. (2015) A Network-Based Approach to Investigate the Pattern of Syndrome in Depression. Evidence-Based Complementary and Alternative Medicine 2015, pages 1-11.
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Xue-Qiang Zeng & Guo-Zheng Li. (2014) Supervised redundant feature detection for tumor classification. BMC Medical Genomics 7:Suppl 2, pages S5.
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Liuyuan Chen, Jie Yang, Juntao Li & Xiaoyu Wang. (2014) Multinomial Regression with Elastic Net Penalty and Its Grouping Effect in Gene Selection. Abstract and Applied Analysis 2014, pages 1-7.
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Juntao Li, Yingmin Jia & Zhihua Zhao. (2012) Partly adaptive elastic net and its application to microarray classification. Neural Computing and Applications 22:6, pages 1193-1200.
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