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极限学习机 (Chinese Wikipedia)

Analysis of information sources in references of the Wikipedia article "极限学习机" in Chinese language version.

refsWebsite
Global rank Chinese rank
18doi.org
2nd place
23rd place
7nih.gov
4th place
5th place
1arxiv.org
69th place
254th place
1web.archive.org
1st place
1st place

arxiv.org

doi.org

  • Huang, Guang-Bin; Zhu, Qin-Yu; Siew, Chee-Kheong. Extreme learning machine: theory and applications. Neurocomputing. 2006, 70 (1): 489–501. doi:10.1016/j.neucom.2005.12.126. 
  • Huang, Guang-Bin; Zhou, Hongming; Ding, Xiaojian; Zhang, Rui. Extreme Learning Machine for Regression and Multiclass Classification. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics. 2012, 42 (2): 513–529. PMID 21984515. doi:10.1109/tsmcb.2011.2168604. 
  • Huang, Guang-Bin. What are Extreme Learning Machines? Filling the Gap Between Frank Rosenblatt's Dream and John von Neumann's Puzzle. Cognitive Computation. 2015, 7 (3): 263–278. doi:10.1007/s12559-015-9333-0. 
  • Huang, Guang-Bin. An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels. Cognitive Computation. 2014, 6 (3): 376–390. doi:10.1007/s12559-014-9255-2. 
  • Huang, Guang-Bin; Zhu, Qin-Yu; Mao, K. Z.; Siew, Chee-Kheong; Saratchandran, P.; Sundararajan, N. Can Threshold Networks Be Trained Directly?. IEEE Transactions on Circuits and Systems-II: Express Briefs. 2006, 53 (3): 187–191. doi:10.1109/tcsii.2005.857540. 
  • Huang, Guang-Bin; Chen, Lei; Siew, Chee-Kheong. Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes. IEEE Transactions on Neural Networks. 2006, 17 (4): 879–892. PMID 16856652. doi:10.1109/tnn.2006.875977. 
  • Cao, Jiuwen; Lin, Zhiping; Huang, Guang-Bin. Composite Function Wavelet Neural Networks with Extreme Learning Machine. Neurocomputing. 2010, 73 (7): 1405–1416. doi:10.1016/j.neucom.2009.12.007. 
  • Huang, Guang-Bin; Chen, Lei; Siew, Chee-Kheong. Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes. IEEE Transactions on Neural Networks. 2006, 17 (4): 879–892. PMID 16856652. doi:10.1109/tnn.2006.875977. 
  • Huang, Guang-Bin; Chen, Lei. Convex Incremental Extreme Learning Machine. Neurocomputing. 2007, 70 (16): 3056–3062. doi:10.1016/j.neucom.2007.02.009. 
  • Huang, Guang-Bin; Chen, Lei. "Enhanced Random Search Based Incremental Extreme Learning Machine. Neurocomputing. 2008, 71 (16): 3460–3468. doi:10.1016/j.neucom.2007.10.008. 
  • He, Qing; Jin, Xin; Du, Changying; Zhuang, Fuzhen; Shi, Zhongzhi. "Clustering in Extreme Learning Machine Feature Space. Neurocomputing. 2014, 128: 88–95. doi:10.1016/j.neucom.2012.12.063. 
  • Kasun, Liyanaarachchi Lekamalage Chamara; Yang, Yan; Huang, Guang-Bin; Zhang, Zhengyou. Dimension Reduction With Extreme Learning Machine. IEEE Transactions on Image Processing. 2016, 25 (8): 3906–3918. PMID 27214902. doi:10.1109/tip.2016.2570569. 
  • Huang, Guang-Bin; Bai, Zuo; Kasun, Liyanaarachchi Lekamalage Chamara; Vong, Chi Man. Local Receptive Fields Based Extreme Learning Machine. IEEE Computational Intelligence Magazine. 2015, 10 (2): 18–29. doi:10.1109/mci.2015.2405316. 
  • Tang, Jiexiong; Deng, Chenwei; Huang, Guang-Bin. Extreme Learning Machine for Multilayer Perceptron. IEEE Transactions on Neural Networks and Learning Systems. 2016, 27 (4): 809–821. PMID 25966483. doi:10.1109/tnnls.2015.2424995. 
  • Barak, Omri; Rigotti, Mattia; Fusi, Stefano. The Sparseness of Mixed Selectivity Neurons Controls the Generalization-Discrimination Trade-off. Journal of Neuroscience. 2013, 33 (9): 3844–3856. PMID 6119179. doi:10.1523/jneurosci.2753-12.2013. 
  • Rigotti, Mattia; Barak, Omri; Warden, Melissa R.; Wang, Xiao-Jing; Daw, Nathaniel D.; Miller, Earl K.; Fusi, Stefano. "The Importance of Mixed Selectivity in Complex Cognitive Tasks. Nature. 2013, 497 (7451): 585–590. PMID 4412347. doi:10.1038/nature12160. 
  • Fusi, Stefano; Miller, Earl K; Rigotti, Mattia. "Why Neurons Mix: High Dimensionality for Higher Cognition. Current Opinion in Neurobiology. 2015, 37: 66–74. doi:10.1016/j.conb.2016.01.010. 
  • Kutlu, Yakup Kutlu; Yayik, Apdullah; Yıldırım, Esen; Yıldırım, Serdar. LU triangularization extreme learning machine in EEG cognitive task classification. Neural Computation and Applications. 2017, 31 (4): 1117–1126. doi:10.1007/s00521-017-3142-1. 

nih.gov

ncbi.nlm.nih.gov

  • Huang, Guang-Bin; Zhou, Hongming; Ding, Xiaojian; Zhang, Rui. Extreme Learning Machine for Regression and Multiclass Classification. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics. 2012, 42 (2): 513–529. PMID 21984515. doi:10.1109/tsmcb.2011.2168604. 
  • Huang, Guang-Bin; Chen, Lei; Siew, Chee-Kheong. Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes. IEEE Transactions on Neural Networks. 2006, 17 (4): 879–892. PMID 16856652. doi:10.1109/tnn.2006.875977. 
  • Huang, Guang-Bin; Chen, Lei; Siew, Chee-Kheong. Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes. IEEE Transactions on Neural Networks. 2006, 17 (4): 879–892. PMID 16856652. doi:10.1109/tnn.2006.875977. 
  • Kasun, Liyanaarachchi Lekamalage Chamara; Yang, Yan; Huang, Guang-Bin; Zhang, Zhengyou. Dimension Reduction With Extreme Learning Machine. IEEE Transactions on Image Processing. 2016, 25 (8): 3906–3918. PMID 27214902. doi:10.1109/tip.2016.2570569. 
  • Tang, Jiexiong; Deng, Chenwei; Huang, Guang-Bin. Extreme Learning Machine for Multilayer Perceptron. IEEE Transactions on Neural Networks and Learning Systems. 2016, 27 (4): 809–821. PMID 25966483. doi:10.1109/tnnls.2015.2424995. 
  • Barak, Omri; Rigotti, Mattia; Fusi, Stefano. The Sparseness of Mixed Selectivity Neurons Controls the Generalization-Discrimination Trade-off. Journal of Neuroscience. 2013, 33 (9): 3844–3856. PMID 6119179. doi:10.1523/jneurosci.2753-12.2013. 
  • Rigotti, Mattia; Barak, Omri; Warden, Melissa R.; Wang, Xiao-Jing; Daw, Nathaniel D.; Miller, Earl K.; Fusi, Stefano. "The Importance of Mixed Selectivity in Complex Cognitive Tasks. Nature. 2013, 497 (7451): 585–590. PMID 4412347. doi:10.1038/nature12160. 

web.archive.org