[1]左鹏玉,周洁,王士同.面对类别不平衡的增量在线序列极限学习机[J].智能系统学报,2020,15(3):520-527.[doi:10.11992/tis.201904040]
 ZUO Pengyu,ZHOU Jie,WANG Shitong.Incremental online sequential extreme learning machine for imbalanced data[J].CAAI Transactions on Intelligent Systems,,15():520-527.[doi:10.11992/tis.201904040]
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面对类别不平衡的增量在线序列极限学习机

参考文献/References:
[1] HUANG Guangbin, ZHU Qinyu, SIEW C K. Extreme learning machine: theory and applications[J]. Neurocomputing, 2006, 70(1/2/3): 489-501.
[2] HUANG Guangbin, CHEN Lei, SIEW C K. Universal approximation using incremental constructive feedforward networks with random hidden nodes[J]. IEEE transactions on neural networks, 2006, 17(4): 879-892.
[3] LI Shuai, YOU Zhuhong, GUO Hongliang, et al. Inverse-free extreme learning machine with optimal information updating[J]. IEEE transactions on cybernetics, 2016, 46(5): 1229-1241.
[4] HUANG Shan, WANG Botao, CHEN Yuemei, et al. An efficient parallel method for batched OS-ELM training using MapReduce[J]. Memetic computing, 2017, 9(3): 183-197.
[5] KIM Y, TOH K A, TEOH A B J, et al. An online learning network for biometric scores fusion[J]. Neurocomputing, 2013, 102: 65-77.
[6] LIANG Nanying, HUANG Guangbin, SARATCHANDRAN P, et al. A fast and accurate online sequential learning algorithm for feedforward networks[J]. IEEE transactions on neural networks, 2006, 17(6): 1411-1423.
[7] 张明洋, 闻英友, 杨晓陶, 等. 一种基于增量加权平均的在线序贯极限学习机算法[J]. 控制与决策, 2017, 32(10): 1887-1893
ZHANG Mingyang, WEN Yingyou, YANG Xiaotao, et al. An incremental weighted average based online sequential extreme learning machine algorithm[J]. Control and decision, 2017, 32(10): 1887-1893
[8] DOUZAS G, BACAO F, LAST F. Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE[J]. Information sciences, 2018, 465: 1-20.
[9] BATUWITA R, PALADE V. Class imbalance learning methods for support vector machines[M]//HE Haibo, MA Yunqian. Imbalanced Learning: Foundations, Algorithms, and Applications. New York: John Wiley & Sons, Inc., 2013: 145-168.
[10] XIA Shixiong, MENG Fanrong, LIU Bing, et al. A Kernel Clustering-based possibilistic fuzzy extreme learning machine for class imbalance learning[J]. Cognitive computation, 2015, 7(1): 74-85.
[11] ZONG Weiwei, HUANG Guangbin, CHEN Yiqiang. Weighted extreme learning machine for imbalance learning[J]. Neurocomputing, 2013, 101: 229-242.
[12] MIRZA B, LIN Zhiping, TOH K A. Weighted online sequential extreme learning machine for class imbalance learning[J]. Neural processing letters, 2013, 38(3): 465-486.
[13] HUANG Guangbin, ZHOU Hongming, DING Xiaojian, et al. Extreme learning machine for regression and multiclass classification[J]. IEEE transactions on systems, man, and cybernetics, part B (cybernetics), 2012, 42(2): 513-529.
[14] RAO C R, MITRA S K. Generalized inverse of a matrix and its applications[C]//Proceedings of the Sixth Berkeley Symposium on Mathematical Statistics and Probability, Volume 1: Theory of Statistics. Berkeley, University of California Press, 1972: 601-620.
[15] BATUWITA R, PALADE V. FSVM-CIL: fuzzy support vector machines for class imbalance learning[J]. IEEE transactions on fuzzy systems, 2010, 18(3): 558-571.
[16] DING Shuya, MIRZA B, LIN Zhiping, et al. Kernel based online learning for imbalance multiclass classification[J]. Neurocomputing, 2017, 277: 139-148.
[17] HE H, GARCIA E A. Learning from imbalance data[J]. IEEE transactions on knowledge and data engineering, 2009, 21(9): 1263-1284.

备注/Memo

收稿日期:2019-04-17。
基金项目:国家自然科学基金项目(61170122)
作者简介:左鹏玉,硕士研究生,主要研究方向为人工智能、模式识别;周洁,博士研究生,主要研究方向为人工智能、模式识别、机器学习;王士同,教授,博士生导师,CCF会员,主要研究方向为人工智能、模式识别。作为第一作者发表学术论文百余篇
通讯作者:左鹏玉.E-mail:1253712018@qq.com

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