Unsupervised learning (English Wikipedia)
Analysis of information sources in references of the Wikipedia article "Unsupervised learning" in English language version.
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6,292nd place
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arxiv.org (Global: 69th place; English: 59th place)
- 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. 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 (Global: 2,120th place; English: 1,328th place)
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 (Global: 2nd place; English: 2nd place)
- 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. 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 (Global: 102nd place; English: 76th place)
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 (Global: 18th place; English: 17th place)
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.
jmlr.org (Global: low place; English: low place)
- 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 (Global: low place; English: low place)
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 (Global: 4th place; English: 4th place)
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 (Global: 1,559th place; English: 1,155th place)
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 (Global: 11th place; English: 8th place)
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 (Global: 274th place; English: 309th place)
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 (Global: 3,142nd place; English: 2,072nd place)
- 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 (Global: 8,920th place; English: 6,292nd place)
- 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 (Global: 8,201st place; English: low place)
na.uni-tuebingen.de
- Wu, Wei. "Unsupervised Learning" (PDF). Archived (PDF) from the original on 14 April 2024. Retrieved 26 April 2024.
utoronto.ca (Global: 1,601st place; English: 1,117th place)
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 (Global: low place; English: low place)
- "Deep Belief Nets" (video). September 2009. Archived from the original on 2022-03-08. Retrieved 2022-03-27.
web.archive.org (Global: 1st place; English: 1st place)
- 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.
- 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 (Global: 5th place; English: 5th place)
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. 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.