Extreme learning machine (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Extreme learning machine" in English language version.

refsWebsite

Global rank English rank

28doi.org

2^nd place

19semanticscholar.org

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8^th place

13ntu.edu.sg

low place

12nih.gov

4^th place

8web.archive.org

1^st place

5psu.edu

207^th place

136^th place

4uni-bielefeld.de

9,437^th place

low place

3harvard.edu

18^th place

17^th place

2worldcat.org

5^th place

1berkeley.edu

580^th place

462^nd place

1intsci.ac.cn

low place

1arxiv.org

69^th place

59^th place

1researchgate.net

120^th place

125^th place

1nottingham.ac.uk

4,422^nd place

2,579^th place

1scholar.google.com

1,697^th place

1,040^th place

1sciencedirect.com

149^th place

178^th place

1ieee.org

652^nd place

515^th place

1wixsite.com

low place

arxiv.org

Apdullah Yayık; Yakup Kutlu; Gökhan Altan (12 July 2019). "Regularized HessELM and Inclined Entropy Measurement forCongestive Heart Failure Prediction". arXiv:1907.05888 [cs.LG].

berkeley.edu

people.eecs.berkeley.edu

Rahimi, Ali, and Benjamin Recht (2008). "Weighted Sums of Random Kitchen Sinks: Replacing Minimization with Randomization in Learning" (PDF). Advances in Neural Information Processing Systems. 21.{{cite journal}}: CS1 maint: multiple names: authors list (link)

doi.org

Huang, Guang-Bin (2015). "What are Extreme Learning Machines? Filling the Gap Between Frank Rosenblatt's Dream and John von Neumann's Puzzle" (PDF). Cognitive Computation. 7 (3): 263–278. doi:10.1007/s12559-015-9333-0. S2CID 13936498. Archived from the original (PDF) on 2017-06-10. Retrieved 2015-07-30.
Huang, Guang-Bin (2014). "An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels" (PDF). Cognitive Computation. 6 (3): 376–390. doi:10.1007/s12559-014-9255-2. S2CID 7419259.
Rosenblatt, Frank (1958). "The Perceptron: A Probabilistic Model For Information Storage And Organization in the Brain". Psychological Review. 65 (6): 386–408. CiteSeerX 10.1.1.588.3775. doi:10.1037/h0042519. PMID 13602029. S2CID 12781225.
Huang, Guang-Bin; Zhu, Qin-Yu; Siew, Chee-Kheong (2006). "Extreme learning machine: theory and applications". Neurocomputing. 70 (1): 489–501. CiteSeerX 10.1.1.217.3692. doi:10.1016/j.neucom.2005.12.126. S2CID 116858.
Huang, Guang-Bin; Hongming Zhou; Xiaojian Ding; and Rui Zhang (2012). "Extreme Learning Machine for Regression and Multiclass Classification" (PDF). IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics. 42 (2): 513–529. CiteSeerX 10.1.1.298.1213. doi:10.1109/tsmcb.2011.2168604. PMID 21984515. S2CID 15037168. Archived from the original (PDF) on 2017-08-29. Retrieved 2017-08-19.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Huang, Guang-Bin (2014). "An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels" (PDF). Cognitive Computation. 6 (3): 376–390. doi:10.1007/s12559-014-9255-2. S2CID 7419259.
Huang, Guang-Bin, Qin-Yu Zhu, K. Z. Mao, Chee-Kheong Siew, P. Saratchandran, and N. Sundararajan (2006). "Can Threshold Networks Be Trained Directly?" (PDF). IEEE Transactions on Circuits and Systems-II: Express Briefs. 53 (3): 187–191. doi:10.1109/tcsii.2005.857540. S2CID 18076010. Archived from the original (PDF) on 2017-08-29. Retrieved 2017-08-22.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Huang, Guang-Bin, Lei Chen, and Chee-Kheong Siew (2006). "Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes" (PDF). IEEE Transactions on Neural Networks. 17 (4): 879–892. doi:10.1109/tnn.2006.875977. PMID 16856652. S2CID 6477031. Archived from the original (PDF) on 2017-08-29. Retrieved 2017-08-22.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Cao, Jiuwen, Zhiping Lin, Guang-Bin Huang (2010). "Composite Function Wavelet Neural Networks with Extreme Learning Machine". Neurocomputing. 73 (7–9): 1405–1416. doi:10.1016/j.neucom.2009.12.007.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Huang, Guang-Bin, Lei Chen (2007). "Convex Incremental Extreme Learning Machine" (PDF). Neurocomputing. 70 (16–18): 3056–3062. doi:10.1016/j.neucom.2007.02.009. Archived from the original (PDF) on 2017-08-10. Retrieved 2017-08-22.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Huang, Guang-Bin, and Lei Chen (2008). "Enhanced Random Search Based Incremental Extreme Learning Machine" (PDF). Neurocomputing. 71 (16–18): 3460–3468. CiteSeerX 10.1.1.217.3009. doi:10.1016/j.neucom.2007.10.008. Archived from the original (PDF) on 2014-10-14. Retrieved 2017-08-22.{{cite journal}}: CS1 maint: multiple names: authors list (link)
He, Qing, Xin Jin, Changying Du, Fuzhen Zhuang, Zhongzhi Shi (2014). "Clustering in Extreme Learning Machine Feature Space" (PDF). Neurocomputing. 128: 88–95. doi:10.1016/j.neucom.2012.12.063. S2CID 30906342.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Kasun, Liyanaarachchi Lekamalage Chamara, Yan Yang, Guang-Bin Huang, and Zhengyou Zhang (2016). "Dimension Reduction With Extreme Learning Machine" (PDF). IEEE Transactions on Image Processing. 25 (8): 3906–3918. Bibcode:2016ITIP...25.3906K. doi:10.1109/tip.2016.2570569. PMID 27214902. S2CID 1803922.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Huang, Guang-Bin, Zuo Bai, and Liyanaarachchi Lekamalage Chamara Kasun, and Chi Man Vong (2015). "Local Receptive Fields Based Extreme Learning Machine" (PDF). IEEE Computational Intelligence Magazine. 10 (2): 18–29. doi:10.1109/mci.2015.2405316. S2CID 1417306. Archived from the original (PDF) on 2017-08-08. Retrieved 2017-08-22.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Tang, Jiexiong, Chenwei Deng, and Guang-Bin Huang (2016). "Extreme Learning Machine for Multilayer Perceptron" (PDF). IEEE Transactions on Neural Networks and Learning Systems. 27 (4): 809–821. doi:10.1109/tnnls.2015.2424995. PMID 25966483. S2CID 206757279. Archived from the original (PDF) on 2017-07-12. Retrieved 2017-08-22.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Barak, Omri; Rigotti, Mattia; and Fusi, Stefano (2013). "The Sparseness of Mixed Selectivity Neurons Controls the Generalization-Discrimination Trade-off". Journal of Neuroscience. 33 (9): 3844–3856. doi:10.1523/jneurosci.2753-12.2013. PMC 6119179. PMID 23447596.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Rigotti, Mattia; Barak, Omri; Warden, Melissa R.; Wang, Xiao-Jing; Daw, Nathaniel D.; Miller, Earl K.; and Fusi, Stefano (2013). "The Importance of Mixed Selectivity in Complex Cognitive Tasks". Nature. 497 (7451): 585–590. Bibcode:2013Natur.497..585R. doi:10.1038/nature12160. PMC 4412347. PMID 23685452.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Fusi, Stefano, Earl K Miller and Mattia Rigotti (2015). "Why Neurons Mix: High Dimensionality for Higher Cognition" (PDF). Current Opinion in Neurobiology. 37: 66–74. doi:10.1016/j.conb.2016.01.010. PMID 26851755. S2CID 13897721.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Kutlu, Yakup Kutlu, Apdullah Yayık, and Esen Yıldırım, and Serdar Yıldırım (2017). "LU triangularization extreme learning machine in EEG cognitive task classification". Neural Computation and Applications. 31 (4): 1117–1126. doi:10.1007/s00521-017-3142-1. S2CID 6572895.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Huang, G.B.; Zhu, Q.Y.; Siew, C.K. (December 2006). "Extreme learning machine: theory and applications". Neurocomputing. 70 (1–3): 489–501. doi:10.1016/j.neucom.2005.12.126. ISSN 0925-2312. S2CID 116858. Retrieved 21 December 2023.
Liang, N.Y.; Huang, G.B.; Saratchandran, P.; Sundararajan, N. (November 2006). "A fast and accurate online sequential learning algorithm for feedforward networks". IEEE Transactions on Neural Networks. 17 (6): 1411–1423. doi:10.1109/TNN.2006.880583. PMID 17131657. S2CID 7028394. Retrieved 21 December 2023.
Zhu, W.; Miao, J.; Qing, L.; Huang, G. B. (2015-07-01). "Hierarchical Extreme Learning Machine for unsupervised representation learning". 2015 International Joint Conference on Neural Networks (IJCNN). pp. 1–8. doi:10.1109/IJCNN.2015.7280669. ISBN 978-1-4799-1960-4. S2CID 14222151.
Neumann, Klaus; Steil, Jochen J. (2013). "Optimizing extreme learning machines via ridge regression and batch intrinsic plasticity". Neurocomputing. 102: 23–30. doi:10.1016/j.neucom.2012.01.041.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Neumann, Klaus; Rolf, Matthias; Steil, Jochen J. (2013). "Reliable integration of continuous constraints into extreme learning machines". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 21 (supp02): 35–50. doi:10.1142/S021848851340014X. ISSN 0218-4885.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Wang, Lipo P.; Wan, Chunru R. (2008). "Comments on "The Extreme Learning Machine"". IEEE Trans. Neural Netw. 19 (8): 1494–5, author reply 1495–6. CiteSeerX 10.1.1.217.2330. doi:10.1109/TNN.2008.2002273. PMID 18701376.
Huang, Guang-Bin (2008). "Reply to "comments on 'the extreme learning machine' "". IEEE Transactions on Neural Networks. 19 (8): 1495–1496. doi:10.1109/tnn.2008.2002275. S2CID 14720232.
Zhu, W.; Miao, J.; Qing, L. (2014-07-01). "Constrained Extreme Learning Machine: A novel highly discriminative random feedforward neural network". 2014 International Joint Conference on Neural Networks (IJCNN). pp. 800–807. doi:10.1109/IJCNN.2014.6889761. ISBN 978-1-4799-1484-5. S2CID 5769519.
Akusok, Anton; Bjork, Kaj-Mikael; Miche, Yoan; Lendasse, Amaury (2015). "High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications". IEEE Access. 3: 1011–1025. Bibcode:2015IEEEA...3.1011A. doi:10.1109/access.2015.2450498.{{cite journal}}: CS1 maint: multiple names: authors list (link)

harvard.edu

ui.adsabs.harvard.edu

Kasun, Liyanaarachchi Lekamalage Chamara, Yan Yang, Guang-Bin Huang, and Zhengyou Zhang (2016). "Dimension Reduction With Extreme Learning Machine" (PDF). IEEE Transactions on Image Processing. 25 (8): 3906–3918. Bibcode:2016ITIP...25.3906K. doi:10.1109/tip.2016.2570569. PMID 27214902. S2CID 1803922.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Rigotti, Mattia; Barak, Omri; Warden, Melissa R.; Wang, Xiao-Jing; Daw, Nathaniel D.; Miller, Earl K.; and Fusi, Stefano (2013). "The Importance of Mixed Selectivity in Complex Cognitive Tasks". Nature. 497 (7451): 585–590. Bibcode:2013Natur.497..585R. doi:10.1038/nature12160. PMC 4412347. PMID 23685452.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Akusok, Anton; Bjork, Kaj-Mikael; Miche, Yoan; Lendasse, Amaury (2015). "High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications". IEEE Access. 3: 1011–1025. Bibcode:2015IEEEA...3.1011A. doi:10.1109/access.2015.2450498.{{cite journal}}: CS1 maint: multiple names: authors list (link)

ieee.org

ieeexplore.ieee.org

Liang, N.Y.; Huang, G.B.; Saratchandran, P.; Sundararajan, N. (November 2006). "A fast and accurate online sequential learning algorithm for feedforward networks". IEEE Transactions on Neural Networks. 17 (6): 1411–1423. doi:10.1109/TNN.2006.880583. PMID 17131657. S2CID 7028394. Retrieved 21 December 2023.

intsci.ac.cn

He, Qing, Xin Jin, Changying Du, Fuzhen Zhuang, Zhongzhi Shi (2014). "Clustering in Extreme Learning Machine Feature Space" (PDF). Neurocomputing. 128: 88–95. doi:10.1016/j.neucom.2012.12.063. S2CID 30906342.{{cite journal}}: CS1 maint: multiple names: authors list (link)

nih.gov

pubmed.ncbi.nlm.nih.gov

Rosenblatt, Frank (1958). "The Perceptron: A Probabilistic Model For Information Storage And Organization in the Brain". Psychological Review. 65 (6): 386–408. CiteSeerX 10.1.1.588.3775. doi:10.1037/h0042519. PMID 13602029. S2CID 12781225.
Huang, Guang-Bin; Hongming Zhou; Xiaojian Ding; and Rui Zhang (2012). "Extreme Learning Machine for Regression and Multiclass Classification" (PDF). IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics. 42 (2): 513–529. CiteSeerX 10.1.1.298.1213. doi:10.1109/tsmcb.2011.2168604. PMID 21984515. S2CID 15037168. Archived from the original (PDF) on 2017-08-29. Retrieved 2017-08-19.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Huang, Guang-Bin, Lei Chen, and Chee-Kheong Siew (2006). "Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes" (PDF). IEEE Transactions on Neural Networks. 17 (4): 879–892. doi:10.1109/tnn.2006.875977. PMID 16856652. S2CID 6477031. Archived from the original (PDF) on 2017-08-29. Retrieved 2017-08-22.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Kasun, Liyanaarachchi Lekamalage Chamara, Yan Yang, Guang-Bin Huang, and Zhengyou Zhang (2016). "Dimension Reduction With Extreme Learning Machine" (PDF). IEEE Transactions on Image Processing. 25 (8): 3906–3918. Bibcode:2016ITIP...25.3906K. doi:10.1109/tip.2016.2570569. PMID 27214902. S2CID 1803922.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Tang, Jiexiong, Chenwei Deng, and Guang-Bin Huang (2016). "Extreme Learning Machine for Multilayer Perceptron" (PDF). IEEE Transactions on Neural Networks and Learning Systems. 27 (4): 809–821. doi:10.1109/tnnls.2015.2424995. PMID 25966483. S2CID 206757279. Archived from the original (PDF) on 2017-07-12. Retrieved 2017-08-22.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Barak, Omri; Rigotti, Mattia; and Fusi, Stefano (2013). "The Sparseness of Mixed Selectivity Neurons Controls the Generalization-Discrimination Trade-off". Journal of Neuroscience. 33 (9): 3844–3856. doi:10.1523/jneurosci.2753-12.2013. PMC 6119179. PMID 23447596.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Rigotti, Mattia; Barak, Omri; Warden, Melissa R.; Wang, Xiao-Jing; Daw, Nathaniel D.; Miller, Earl K.; and Fusi, Stefano (2013). "The Importance of Mixed Selectivity in Complex Cognitive Tasks". Nature. 497 (7451): 585–590. Bibcode:2013Natur.497..585R. doi:10.1038/nature12160. PMC 4412347. PMID 23685452.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Fusi, Stefano, Earl K Miller and Mattia Rigotti (2015). "Why Neurons Mix: High Dimensionality for Higher Cognition" (PDF). Current Opinion in Neurobiology. 37: 66–74. doi:10.1016/j.conb.2016.01.010. PMID 26851755. S2CID 13897721.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Liang, N.Y.; Huang, G.B.; Saratchandran, P.; Sundararajan, N. (November 2006). "A fast and accurate online sequential learning algorithm for feedforward networks". IEEE Transactions on Neural Networks. 17 (6): 1411–1423. doi:10.1109/TNN.2006.880583. PMID 17131657. S2CID 7028394. Retrieved 21 December 2023.
Wang, Lipo P.; Wan, Chunru R. (2008). "Comments on "The Extreme Learning Machine"". IEEE Trans. Neural Netw. 19 (8): 1494–5, author reply 1495–6. CiteSeerX 10.1.1.217.2330. doi:10.1109/TNN.2008.2002273. PMID 18701376.

ncbi.nlm.nih.gov

Barak, Omri; Rigotti, Mattia; and Fusi, Stefano (2013). "The Sparseness of Mixed Selectivity Neurons Controls the Generalization-Discrimination Trade-off". Journal of Neuroscience. 33 (9): 3844–3856. doi:10.1523/jneurosci.2753-12.2013. PMC 6119179. PMID 23447596.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Rigotti, Mattia; Barak, Omri; Warden, Melissa R.; Wang, Xiao-Jing; Daw, Nathaniel D.; Miller, Earl K.; and Fusi, Stefano (2013). "The Importance of Mixed Selectivity in Complex Cognitive Tasks". Nature. 497 (7451): 585–590. Bibcode:2013Natur.497..585R. doi:10.1038/nature12160. PMC 4412347. PMID 23685452.{{cite journal}}: CS1 maint: multiple names: authors list (link)

nottingham.ac.uk

"Classic Papers: Articles That Have Stood The Test of Time". University of Nottingham. 15 June 2017. Retrieved 21 December 2023.

ntu.edu.sg

Huang, Guang-Bin (2015). "What are Extreme Learning Machines? Filling the Gap Between Frank Rosenblatt's Dream and John von Neumann's Puzzle" (PDF). Cognitive Computation. 7 (3): 263–278. doi:10.1007/s12559-015-9333-0. S2CID 13936498. Archived from the original (PDF) on 2017-06-10. Retrieved 2015-07-30.
Huang, Guang-Bin (2014). "An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels" (PDF). Cognitive Computation. 6 (3): 376–390. doi:10.1007/s12559-014-9255-2. S2CID 7419259.
Huang, Guang-Bin; Hongming Zhou; Xiaojian Ding; and Rui Zhang (2012). "Extreme Learning Machine for Regression and Multiclass Classification" (PDF). IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics. 42 (2): 513–529. CiteSeerX 10.1.1.298.1213. doi:10.1109/tsmcb.2011.2168604. PMID 21984515. S2CID 15037168. Archived from the original (PDF) on 2017-08-29. Retrieved 2017-08-19.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Huang, Guang-Bin (2014). "An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels" (PDF). Cognitive Computation. 6 (3): 376–390. doi:10.1007/s12559-014-9255-2. S2CID 7419259.
Huang, Guang-Bin, Qin-Yu Zhu, K. Z. Mao, Chee-Kheong Siew, P. Saratchandran, and N. Sundararajan (2006). "Can Threshold Networks Be Trained Directly?" (PDF). IEEE Transactions on Circuits and Systems-II: Express Briefs. 53 (3): 187–191. doi:10.1109/tcsii.2005.857540. S2CID 18076010. Archived from the original (PDF) on 2017-08-29. Retrieved 2017-08-22.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Huang, Guang-Bin, Lei Chen, and Chee-Kheong Siew (2006). "Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes" (PDF). IEEE Transactions on Neural Networks. 17 (4): 879–892. doi:10.1109/tnn.2006.875977. PMID 16856652. S2CID 6477031. Archived from the original (PDF) on 2017-08-29. Retrieved 2017-08-22.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Huang, Guang-Bin, Lei Chen (2007). "Convex Incremental Extreme Learning Machine" (PDF). Neurocomputing. 70 (16–18): 3056–3062. doi:10.1016/j.neucom.2007.02.009. Archived from the original (PDF) on 2017-08-10. Retrieved 2017-08-22.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Huang, Guang-Bin, and Lei Chen (2008). "Enhanced Random Search Based Incremental Extreme Learning Machine" (PDF). Neurocomputing. 71 (16–18): 3460–3468. CiteSeerX 10.1.1.217.3009. doi:10.1016/j.neucom.2007.10.008. Archived from the original (PDF) on 2014-10-14. Retrieved 2017-08-22.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Kasun, Liyanaarachchi Lekamalage Chamara, Yan Yang, Guang-Bin Huang, and Zhengyou Zhang (2016). "Dimension Reduction With Extreme Learning Machine" (PDF). IEEE Transactions on Image Processing. 25 (8): 3906–3918. Bibcode:2016ITIP...25.3906K. doi:10.1109/tip.2016.2570569. PMID 27214902. S2CID 1803922.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Huang, Guang-Bin, Zuo Bai, and Liyanaarachchi Lekamalage Chamara Kasun, and Chi Man Vong (2015). "Local Receptive Fields Based Extreme Learning Machine" (PDF). IEEE Computational Intelligence Magazine. 10 (2): 18–29. doi:10.1109/mci.2015.2405316. S2CID 1417306. Archived from the original (PDF) on 2017-08-08. Retrieved 2017-08-22.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Tang, Jiexiong, Chenwei Deng, and Guang-Bin Huang (2016). "Extreme Learning Machine for Multilayer Perceptron" (PDF). IEEE Transactions on Neural Networks and Learning Systems. 27 (4): 809–821. doi:10.1109/tnnls.2015.2424995. PMID 25966483. S2CID 206757279. Archived from the original (PDF) on 2017-07-12. Retrieved 2017-08-22.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Fusi, Stefano, Earl K Miller and Mattia Rigotti (2015). "Why Neurons Mix: High Dimensionality for Higher Cognition" (PDF). Current Opinion in Neurobiology. 37: 66–74. doi:10.1016/j.conb.2016.01.010. PMID 26851755. S2CID 13897721.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Guang-Bin, Huang (2015). "WHO behind the malign and attack on ELM, GOAL of the attack and ESSENCE of ELM" (PDF). www.extreme-learning-machines.org.

psu.edu

citeseerx.ist.psu.edu

Rosenblatt, Frank (1958). "The Perceptron: A Probabilistic Model For Information Storage And Organization in the Brain". Psychological Review. 65 (6): 386–408. CiteSeerX 10.1.1.588.3775. doi:10.1037/h0042519. PMID 13602029. S2CID 12781225.
Huang, Guang-Bin; Zhu, Qin-Yu; Siew, Chee-Kheong (2006). "Extreme learning machine: theory and applications". Neurocomputing. 70 (1): 489–501. CiteSeerX 10.1.1.217.3692. doi:10.1016/j.neucom.2005.12.126. S2CID 116858.
Huang, Guang-Bin; Hongming Zhou; Xiaojian Ding; and Rui Zhang (2012). "Extreme Learning Machine for Regression and Multiclass Classification" (PDF). IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics. 42 (2): 513–529. CiteSeerX 10.1.1.298.1213. doi:10.1109/tsmcb.2011.2168604. PMID 21984515. S2CID 15037168. Archived from the original (PDF) on 2017-08-29. Retrieved 2017-08-19.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Huang, Guang-Bin, and Lei Chen (2008). "Enhanced Random Search Based Incremental Extreme Learning Machine" (PDF). Neurocomputing. 71 (16–18): 3460–3468. CiteSeerX 10.1.1.217.3009. doi:10.1016/j.neucom.2007.10.008. Archived from the original (PDF) on 2014-10-14. Retrieved 2017-08-22.{{cite journal}}: CS1 maint: multiple names: authors list (link)
Wang, Lipo P.; Wan, Chunru R. (2008). "Comments on "The Extreme Learning Machine"". IEEE Trans. Neural Netw. 19 (8): 1494–5, author reply 1495–6. CiteSeerX 10.1.1.217.2330. doi:10.1109/TNN.2008.2002273. PMID 18701376.

researchgate.net

Altan, Gökhan Altan, Yakup Kutlu, Adnan Özhan Pekmezci and Apdullah Yayık (2018). "Diagnosis of Chronic Obstructive Pulmonary Disease using Deep Extreme Learning Machines with LU Autoencoder Kernel". International Conference on Advanced Technologies.{{cite journal}}: CS1 maint: multiple names: authors list (link)

scholar.google.com

""List of 10 classic AI papers from 2006"". 2017. Retrieved 21 December 2023.

sciencedirect.com

Huang, G.B.; Zhu, Q.Y.; Siew, C.K. (December 2006). "Extreme learning machine: theory and applications". Neurocomputing. 70 (1–3): 489–501. doi:10.1016/j.neucom.2005.12.126. ISSN 0925-2312. S2CID 116858. Retrieved 21 December 2023.

semanticscholar.org

api.semanticscholar.org

Huang, Guang-Bin (2015). "What are Extreme Learning Machines? Filling the Gap Between Frank Rosenblatt's Dream and John von Neumann's Puzzle" (PDF). Cognitive Computation. 7 (3): 263–278. doi:10.1007/s12559-015-9333-0. S2CID 13936498. Archived from the original (PDF) on 2017-06-10. Retrieved 2015-07-30.
Huang, Guang-Bin (2014). "An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels" (PDF). Cognitive Computation. 6 (3): 376–390. doi:10.1007/s12559-014-9255-2. S2CID 7419259.
Rosenblatt, Frank (1958). "The Perceptron: A Probabilistic Model For Information Storage And Organization in the Brain". Psychological Review. 65 (6): 386–408. CiteSeerX 10.1.1.588.3775. doi:10.1037/h0042519. PMID 13602029. S2CID 12781225.
Huang, Guang-Bin; Zhu, Qin-Yu; Siew, Chee-Kheong (2006). "Extreme learning machine: theory and applications". Neurocomputing. 70 (1): 489–501. CiteSeerX 10.1.1.217.3692. doi:10.1016/j.neucom.2005.12.126. S2CID 116858.
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Huang, G.B.; Zhu, Q.Y.; Siew, C.K. (December 2006). "Extreme learning machine: theory and applications". Neurocomputing. 70 (1–3): 489–501. doi:10.1016/j.neucom.2005.12.126. ISSN 0925-2312. S2CID 116858. Retrieved 21 December 2023.
Neumann, Klaus; Rolf, Matthias; Steil, Jochen J. (2013). "Reliable integration of continuous constraints into extreme learning machines". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 21 (supp02): 35–50. doi:10.1142/S021848851340014X. ISSN 0218-4885.{{cite journal}}: CS1 maint: multiple names: authors list (link)