Unsupervised learning (English Wikipedia)

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

refsWebsite

Global rank English rank

10web.archive.org

1^st place

8doi.org

2^nd place

4semanticscholar.org

11^th place

8^th place

2arxiv.org

69^th place

59^th place

2worldcat.org

5^th place

2towardsdatascience.com

8,920^th place

6,292^nd place

1uni-tuebingen.de

8,201^st place

low place

1ieee.org

652^nd place

515^th place

1openai.com

1,559^th place

1,155^th place

1mlr.press

low place

1utoronto.ca

1,601^st place

1,117^th place

1videolectures.net

low place

1handle.net

102^nd place

76^th place

1nih.gov

4^th place

1bu.edu

2,120^th place

1,328^th place

1taylorfrancis.com

3,142^nd place

2,072^nd place

1springer.com

274^th place

309^th place

1jmlr.org

low place

1harvard.edu

18^th place

17^th place

arxiv.org

Liu, Xiao; Zhang, Fanjin; Hou, Zhenyu; Mian, Li; Wang, Zhaoyu; Zhang, Jing; Tang, Jie (2021). "Self-supervised Learning: Generative or Contrastive". IEEE Transactions on Knowledge and Data Engineering: 1–1. arXiv:2006.08218. doi:10.1109/TKDE.2021.3090866. ISSN 1041-4347.
Anandkumar, Animashree; Ge, Rong; Hsu, Daniel; Kakade, Sham; Telgarsky, Matus (2014). "Tensor Decompositions for Learning Latent Variable Models" (PDF). Journal of Machine Learning Research. 15: 2773–2832. arXiv:1210.7559. Bibcode:2012arXiv1210.7559A. Archived (PDF) from the original on 2015-03-20. Retrieved 2015-04-10.

bu.edu

cns.bu.edu

Carpenter, G.A. & Grossberg, S. (1988). "The ART of adaptive pattern recognition by a self-organizing neural network" (PDF). Computer. 21 (3): 77–88. doi:10.1109/2.33. S2CID 14625094. Archived from the original (PDF) on 2018-05-16. Retrieved 2013-09-16.

doi.org

Liu, Xiao; Zhang, Fanjin; Hou, Zhenyu; Mian, Li; Wang, Zhaoyu; Zhang, Jing; Tang, Jie (2021). "Self-supervised Learning: Generative or Contrastive". IEEE Transactions on Knowledge and Data Engineering: 1–1. arXiv:2006.08218. doi:10.1109/TKDE.2021.3090866. ISSN 1041-4347.
Hinton, G. (2012). "A Practical Guide to Training Restricted Boltzmann Machines" (PDF). Neural Networks: Tricks of the Trade. Lecture Notes in Computer Science. Vol. 7700. Springer. pp. 599–619. doi:10.1007/978-3-642-35289-8_32. ISBN 978-3-642-35289-8. Archived (PDF) from the original on 2022-09-03. Retrieved 2022-11-03.
Peter, Dayan; Hinton, Geoffrey E.; Neal, Radford M.; Zemel, Richard S. (1995). "The Helmholtz machine". Neural Computation. 7 (5): 889–904. doi:10.1162/neco.1995.7.5.889. hdl:21.11116/0000-0002-D6D3-E. PMID 7584891. S2CID 1890561.
Buhmann, J.; Kuhnel, H. (1992). "Unsupervised and supervised data clustering with competitive neural networks". [Proceedings 1992] IJCNN International Joint Conference on Neural Networks. Vol. 4. IEEE. pp. 796–801. doi:10.1109/ijcnn.1992.227220. ISBN 0780305590. S2CID 62651220.
Comesaña-Campos, Alberto; Bouza-Rodríguez, José Benito (June 2016). "An application of Hebbian learning in the design process decision-making". Journal of Intelligent Manufacturing. 27 (3): 487–506. doi:10.1007/s10845-014-0881-z. ISSN 0956-5515. S2CID 207171436.
Carpenter, G.A. & Grossberg, S. (1988). "The ART of adaptive pattern recognition by a self-organizing neural network" (PDF). Computer. 21 (3): 77–88. doi:10.1109/2.33. S2CID 14625094. Archived from the original (PDF) on 2018-05-16. Retrieved 2013-09-16.
Jordan, Michael I.; Bishop, Christopher M. (2004). "7. Intelligent Systems §Neural Networks". In Tucker, Allen B. (ed.). Computer Science Handbook (2nd ed.). Chapman & Hall/CRC Press. doi:10.1201/9780203494455. ISBN 1-58488-360-X. Archived from the original on 2022-11-03. Retrieved 2022-11-03.
Hastie, Tibshirani & Friedman 2009, pp. 485–586 Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome (2009). "Unsupervised Learning". The Elements of Statistical Learning: Data mining, Inference, and Prediction. Springer. pp. 485–586. doi:10.1007/978-0-387-84858-7_14. ISBN 978-0-387-84857-0. Archived from the original on 2022-11-03. Retrieved 2022-11-03.

handle.net

hdl.handle.net

Peter, Dayan; Hinton, Geoffrey E.; Neal, Radford M.; Zemel, Richard S. (1995). "The Helmholtz machine". Neural Computation. 7 (5): 889–904. doi:10.1162/neco.1995.7.5.889. hdl:21.11116/0000-0002-D6D3-E. PMID 7584891. S2CID 1890561.

harvard.edu

ui.adsabs.harvard.edu

Anandkumar, Animashree; Ge, Rong; Hsu, Daniel; Kakade, Sham; Telgarsky, Matus (2014). "Tensor Decompositions for Learning Latent Variable Models" (PDF). Journal of Machine Learning Research. 15: 2773–2832. arXiv:1210.7559. Bibcode:2012arXiv1210.7559A. Archived (PDF) from the original on 2015-03-20. Retrieved 2015-04-10.

ieee.org

ieeexplore.ieee.org

Liu, Xiao; Zhang, Fanjin; Hou, Zhenyu; Mian, Li; Wang, Zhaoyu; Zhang, Jing; Tang, Jie (2021). "Self-supervised Learning: Generative or Contrastive". IEEE Transactions on Knowledge and Data Engineering: 1–1. arXiv:2006.08218. doi:10.1109/TKDE.2021.3090866. ISSN 1041-4347.

jmlr.org

Anandkumar, Animashree; Ge, Rong; Hsu, Daniel; Kakade, Sham; Telgarsky, Matus (2014). "Tensor Decompositions for Learning Latent Variable Models" (PDF). Journal of Machine Learning Research. 15: 2773–2832. arXiv:1210.7559. Bibcode:2012arXiv1210.7559A. Archived (PDF) from the original on 2015-03-20. Retrieved 2015-04-10.

mlr.press

proceedings.mlr.press

Li, Zhuohan; Wallace, Eric; Shen, Sheng; Lin, Kevin; Keutzer, Kurt; Klein, Dan; Gonzalez, Joey (2020-11-21). "Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers". Proceedings of the 37th International Conference on Machine Learning. PMLR: 5958–5968.

nih.gov

pubmed.ncbi.nlm.nih.gov

Peter, Dayan; Hinton, Geoffrey E.; Neal, Radford M.; Zemel, Richard S. (1995). "The Helmholtz machine". Neural Computation. 7 (5): 889–904. doi:10.1162/neco.1995.7.5.889. hdl:21.11116/0000-0002-D6D3-E. PMID 7584891. S2CID 1890561.

openai.com

cdn.openai.com

Radford, Alec; Narasimhan, Karthik; Salimans, Tim; Sutskever, Ilya (11 June 2018). "Improving Language Understanding by Generative Pre-Training" (PDF). OpenAI. p. 12. Archived (PDF) from the original on 26 January 2021. Retrieved 23 January 2021.

semanticscholar.org

api.semanticscholar.org

Peter, Dayan; Hinton, Geoffrey E.; Neal, Radford M.; Zemel, Richard S. (1995). "The Helmholtz machine". Neural Computation. 7 (5): 889–904. doi:10.1162/neco.1995.7.5.889. hdl:21.11116/0000-0002-D6D3-E. PMID 7584891. S2CID 1890561.
Buhmann, J.; Kuhnel, H. (1992). "Unsupervised and supervised data clustering with competitive neural networks". [Proceedings 1992] IJCNN International Joint Conference on Neural Networks. Vol. 4. IEEE. pp. 796–801. doi:10.1109/ijcnn.1992.227220. ISBN 0780305590. S2CID 62651220.
Comesaña-Campos, Alberto; Bouza-Rodríguez, José Benito (June 2016). "An application of Hebbian learning in the design process decision-making". Journal of Intelligent Manufacturing. 27 (3): 487–506. doi:10.1007/s10845-014-0881-z. ISSN 0956-5515. S2CID 207171436.
Carpenter, G.A. & Grossberg, S. (1988). "The ART of adaptive pattern recognition by a self-organizing neural network" (PDF). Computer. 21 (3): 77–88. doi:10.1109/2.33. S2CID 14625094. Archived from the original (PDF) on 2018-05-16. Retrieved 2013-09-16.

springer.com

link.springer.com

Hastie, Tibshirani & Friedman 2009, pp. 485–586 Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome (2009). "Unsupervised Learning". The Elements of Statistical Learning: Data mining, Inference, and Prediction. Springer. pp. 485–586. doi:10.1007/978-0-387-84858-7_14. ISBN 978-0-387-84857-0. Archived from the original on 2022-11-03. Retrieved 2022-11-03.

taylorfrancis.com

Jordan, Michael I.; Bishop, Christopher M. (2004). "7. Intelligent Systems §Neural Networks". In Tucker, Allen B. (ed.). Computer Science Handbook (2nd ed.). Chapman & Hall/CRC Press. doi:10.1201/9780203494455. ISBN 1-58488-360-X. Archived from the original on 2022-11-03. Retrieved 2022-11-03.

towardsdatascience.com

Roman, Victor (2019-04-21). "Unsupervised Machine Learning: Clustering Analysis". Medium. Archived from the original on 2020-08-21. Retrieved 2019-10-01.
Garbade, Dr Michael J. (2018-09-12). "Understanding K-means Clustering in Machine Learning". Medium. Archived from the original on 2019-05-28. Retrieved 2019-10-31.

uni-tuebingen.de

na.uni-tuebingen.de

Wu, Wei. "Unsupervised Learning" (PDF). Archived (PDF) from the original on 14 April 2024. Retrieved 26 April 2024.

utoronto.ca

cs.utoronto.ca

Hinton, G. (2012). "A Practical Guide to Training Restricted Boltzmann Machines" (PDF). Neural Networks: Tricks of the Trade. Lecture Notes in Computer Science. Vol. 7700. Springer. pp. 599–619. doi:10.1007/978-3-642-35289-8_32. ISBN 978-3-642-35289-8. Archived (PDF) from the original on 2022-09-03. Retrieved 2022-11-03.

videolectures.net

"Deep Belief Nets" (video). September 2009. Archived from the original on 2022-03-08. Retrieved 2022-03-27. {{cite web}}: Unknown parameter |people= ignored (help)

web.archive.org

Wu, Wei. "Unsupervised Learning" (PDF). Archived (PDF) from the original on 14 April 2024. Retrieved 26 April 2024.
Radford, Alec; Narasimhan, Karthik; Salimans, Tim; Sutskever, Ilya (11 June 2018). "Improving Language Understanding by Generative Pre-Training" (PDF). OpenAI. p. 12. Archived (PDF) from the original on 26 January 2021. Retrieved 23 January 2021.
Hinton, G. (2012). "A Practical Guide to Training Restricted Boltzmann Machines" (PDF). Neural Networks: Tricks of the Trade. Lecture Notes in Computer Science. Vol. 7700. Springer. pp. 599–619. doi:10.1007/978-3-642-35289-8_32. ISBN 978-3-642-35289-8. Archived (PDF) from the original on 2022-09-03. Retrieved 2022-11-03.
"Deep Belief Nets" (video). September 2009. Archived from the original on 2022-03-08. Retrieved 2022-03-27. {{cite web}}: Unknown parameter |people= ignored (help)
Carpenter, G.A. & Grossberg, S. (1988). "The ART of adaptive pattern recognition by a self-organizing neural network" (PDF). Computer. 21 (3): 77–88. doi:10.1109/2.33. S2CID 14625094. Archived from the original (PDF) on 2018-05-16. Retrieved 2013-09-16.
Roman, Victor (2019-04-21). "Unsupervised Machine Learning: Clustering Analysis". Medium. Archived from the original on 2020-08-21. Retrieved 2019-10-01.
Jordan, Michael I.; Bishop, Christopher M. (2004). "7. Intelligent Systems §Neural Networks". In Tucker, Allen B. (ed.). Computer Science Handbook (2nd ed.). Chapman & Hall/CRC Press. doi:10.1201/9780203494455. ISBN 1-58488-360-X. Archived from the original on 2022-11-03. Retrieved 2022-11-03.
Hastie, Tibshirani & Friedman 2009, pp. 485–586 Hastie, Trevor; Tibshirani, Robert; Friedman, Jerome (2009). "Unsupervised Learning". The Elements of Statistical Learning: Data mining, Inference, and Prediction. Springer. pp. 485–586. doi:10.1007/978-0-387-84858-7_14. ISBN 978-0-387-84857-0. Archived from the original on 2022-11-03. Retrieved 2022-11-03.
Garbade, Dr Michael J. (2018-09-12). "Understanding K-means Clustering in Machine Learning". Medium. Archived from the original on 2019-05-28. Retrieved 2019-10-31.
Anandkumar, Animashree; Ge, Rong; Hsu, Daniel; Kakade, Sham; Telgarsky, Matus (2014). "Tensor Decompositions for Learning Latent Variable Models" (PDF). Journal of Machine Learning Research. 15: 2773–2832. arXiv:1210.7559. Bibcode:2012arXiv1210.7559A. Archived (PDF) from the original on 2015-03-20. Retrieved 2015-04-10.

worldcat.org

search.worldcat.org

Liu, Xiao; Zhang, Fanjin; Hou, Zhenyu; Mian, Li; Wang, Zhaoyu; Zhang, Jing; Tang, Jie (2021). "Self-supervised Learning: Generative or Contrastive". IEEE Transactions on Knowledge and Data Engineering: 1–1. arXiv:2006.08218. doi:10.1109/TKDE.2021.3090866. ISSN 1041-4347.
Comesaña-Campos, Alberto; Bouza-Rodríguez, José Benito (June 2016). "An application of Hebbian learning in the design process decision-making". Journal of Intelligent Manufacturing. 27 (3): 487–506. doi:10.1007/s10845-014-0881-z. ISSN 0956-5515. S2CID 207171436.