Machine learning (English Wikipedia)

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

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Jouppi, Norman P.; Young, Cliff; Patil, Nishant; Patterson, David; Agrawal, Gaurav; Bajwa, Raminder; Bates, Sarah; Bhatia, Suresh; Boden, Nan; Borchers, Al; Boyle, Rick; Cantin, Pierre-luc; Chao, Clifford; Clark, Chris; Coriell, Jeremy (24 June 2017). "In-Datacenter Performance Analysis of a Tensor Processing Unit". Proceedings of the 44th Annual International Symposium on Computer Architecture. ISCA '17. New York, NY, USA: Association for Computing Machinery. pp. 1–12. arXiv:1704.04760. doi:10.1145/3079856.3080246. ISBN 978-1-4503-4892-8.

airesearch.com

Research, AI (23 October 2015). "Deep Neural Networks for Acoustic Modeling in Speech Recognition". airesearch.com. Archived from the original on 1 February 2016. Retrieved 23 October 2015.

analyticsindiamag.com

"A Beginner's Guide To Machine learning For Embedded Systems". Analytics India Magazine. 2 June 2021. Archived from the original on 18 January 2022. Retrieved 17 January 2022.

archive.org

Alpaydin, Ethem (2010). Introduction to Machine Learning. London: The MIT Press. ISBN 978-0-262-01243-0. Retrieved 4 February 2017.

arstechnica.com

Edwards, Benj (28 September 2023). "AI language models can exceed PNG and FLAC in lossless compression, says study". Ars Technica. Retrieved 7 March 2024.

arxiv.org

Mentzer, Fabian; Toderici, George; Tschannen, Michael; Agustsson, Eirikur (2020). "High-Fidelity Generative Image Compression". arXiv:2006.09965 [eess.IV].
Delétang, Grégoire; Ruoss, Anian; Duquenne, Paul-Ambroise; Catt, Elliot; Genewein, Tim; Mattern, Christopher; Grau-Moya, Jordi; Li Kevin Wenliang; Aitchison, Matthew; Orseau, Laurent; Hutter, Marcus; Veness, Joel (2023). "Language Modeling is Compression". arXiv:2309.10668 [cs.LG].
Mashaghi, A.; Ramezanpour, A. (16 March 2018). "Statistical physics of medical diagnostics: Study of a probabilistic model". Physical Review E. 97 (3–1): 032118. arXiv:1803.10019. Bibcode:2018PhRvE..97c2118M. doi:10.1103/PhysRevE.97.032118. PMID 29776109. S2CID 4955393.
Misra, Ishan; Maaten, Laurens van der (2020). Self-Supervised Learning of Pretext-Invariant Representations. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Seattle, WA, USA: IEEE. pp. 6707–6717. arXiv:1912.01991. doi:10.1109/CVPR42600.2020.00674.
Jaiswal, Ashish; Babu, Ashwin Ramesh; Zadeh, Mohammad Zaki; Banerjee, Debapriya; Makedon, Fillia (March 2021). "A Survey on Contrastive Self-Supervised Learning". Technologies. 9 (1): 2. arXiv:2011.00362. doi:10.3390/technologies9010002. ISSN 2227-7080.
Y. Bengio; A. Courville; P. Vincent (2013). "Representation Learning: A Review and New Perspectives". IEEE Transactions on Pattern Analysis and Machine Intelligence. 35 (8): 1798–1828. arXiv:1206.5538. doi:10.1109/tpami.2013.50. PMID 23787338. S2CID 393948.
Tillmann, A. M. (2015). "On the Computational Intractability of Exact and Approximate Dictionary Learning". IEEE Signal Processing Letters. 22 (1): 45–49. arXiv:1405.6664. Bibcode:2015ISPL...22...45T. doi:10.1109/LSP.2014.2345761. S2CID 13342762.
Fleer, S.; Moringen, A.; Klatzky, R. L.; Ritter, H. (2020). "Learning efficient haptic shape exploration with a rigid tactile sensor array, S. Fleer, A. Moringen, R. Klatzky, H. Ritter". PLOS ONE. 15 (1): e0226880. arXiv:1902.07501. doi:10.1371/journal.pone.0226880. PMC 6940144. PMID 31896135.
Sun, Yuran; Huang, Shih-Kai; Zhao, Xilei (1 February 2024). "Predicting Hurricane Evacuation Decisions with Interpretable Machine Learning Methods". International Journal of Disaster Risk Science. 15 (1): 134–148. arXiv:2303.06557. Bibcode:2024IJDRS..15..134S. doi:10.1007/s13753-024-00541-1. ISSN 2192-6395.
Madry, A.; Makelov, A.; Schmidt, L.; Tsipras, D.; Vladu, A. (4 September 2019). "Towards deep learning models resistant to adversarial attacks". arXiv:1706.06083 [stat.ML].
Goldwasser, Shafi; Kim, Michael P.; Vaikuntanathan, Vinod; Zamir, Or (14 April 2022). "Planting Undetectable Backdoors in Machine Learning Models". arXiv:2204.06974 [cs.LG].
Caliskan, Aylin; Bryson, Joanna J.; Narayanan, Arvind (14 April 2017). "Semantics derived automatically from language corpora contain human-like biases". Science. 356 (6334): 183–186. arXiv:1608.07187. Bibcode:2017Sci...356..183C. doi:10.1126/science.aal4230. ISSN 0036-8075. PMID 28408601. S2CID 23163324.
M.O.R. Prates; P.H.C. Avelar; L.C. Lamb (11 March 2019). "Assessing Gender Bias in Machine Translation – A Case Study with Google Translate". arXiv:1809.02208 [cs.CY].
Jouppi, Norman P.; Young, Cliff; Patil, Nishant; Patterson, David; Agrawal, Gaurav; Bajwa, Raminder; Bates, Sarah; Bhatia, Suresh; Boden, Nan; Borchers, Al; Boyle, Rick; Cantin, Pierre-luc; Chao, Clifford; Clark, Chris; Coriell, Jeremy (24 June 2017). "In-Datacenter Performance Analysis of a Tensor Processing Unit". Proceedings of the 44th Annual International Symposium on Computer Architecture. ISCA '17. New York, NY, USA: Association for Computing Machinery. pp. 1–12. arXiv:1704.04760. doi:10.1145/3079856.3080246. ISBN 978-1-4503-4892-8.
Giri, Davide; Chiu, Kuan-Lin; Di Guglielmo, Giuseppe; Mantovani, Paolo; Carloni, Luca P. (15 June 2020). "ESP4ML: Platform-Based Design of Systems-on-Chip for Embedded Machine Learning". 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE). pp. 1049–1054. arXiv:2004.03640. doi:10.23919/DATE48585.2020.9116317. ISBN 978-3-9819263-4-7. S2CID 210928161. Archived from the original on 18 January 2022. Retrieved 17 January 2022.

bbc.com

"Single pixel change fools AI programs". BBC News. 3 November 2017. Archived from the original on 22 March 2018. Retrieved 12 March 2018.

berkeley.edu

cltc.berkeley.edu

"Adversarial Machine Learning – CLTC UC Berkeley Center for Long-Term Cybersecurity". CLTC. Archived from the original on 17 May 2022. Retrieved 25 May 2022.

brie.berkeley.edu

Silva, Selena; Kenney, Martin (2018). "Algorithms, Platforms, and Ethnic Bias: An Integrative Essay" (PDF). Phylon. 55 (1 & 2): 9–37. ISSN 0031-8906. JSTOR 26545017. Archived (PDF) from the original on 27 January 2024.

bloomberg.com

"Why Machine Learning Models Often Fail to Learn: QuickTake Q&A". Bloomberg.com. 10 November 2016. Archived from the original on 20 March 2017. Retrieved 10 April 2017.

books.google.com

Le Roux, Nicolas; Bengio, Yoshua; Fitzgibbon, Andrew (2012). "Improving First and Second-Order Methods by Modeling Uncertainty". In Sra, Suvrit; Nowozin, Sebastian; Wright, Stephen J. (eds.). Optimization for Machine Learning. MIT Press. p. 404. ISBN 9780262016469. Archived from the original on 17 January 2023. Retrieved 12 November 2020.
Alpaydin, Ethem (2010). Introduction to Machine Learning. MIT Press. p. 9. ISBN 978-0-262-01243-0. Archived from the original on 17 January 2023. Retrieved 25 November 2018.
Yoshua Bengio (2009). Learning Deep Architectures for AI. Now Publishers Inc. pp. 1–3. ISBN 978-1-60198-294-0. Archived from the original on 17 January 2023. Retrieved 15 February 2016.
Zhang, C. and Zhang, S., 2002. Association rule mining: models and algorithms. Springer-Verlag.
De Castro, Leandro Nunes, and Jonathan Timmis. Artificial immune systems: a new computational intelligence approach. Springer Science & Business Media, 2002.

bris.ac.uk

research-information.bris.ac.uk

Fafoutis, Xenofon; Marchegiani, Letizia; Elsts, Atis; Pope, James; Piechocki, Robert; Craddock, Ian (7 May 2018). "Extending the battery lifetime of wearable sensors with embedded machine learning". 2018 IEEE 4th World Forum on Internet of Things (WF-IoT). pp. 269–274. doi:10.1109/WF-IoT.2018.8355116. hdl:1983/b8fdb58b-7114-45c6-82e4-4ab239c1327f. ISBN 978-1-4673-9944-9. S2CID 19192912. Archived from the original on 18 January 2022. Retrieved 17 January 2022.

businessweekly.co.uk

Quested, Tony. "Smartphones get smarter with Essex innovation". Business Weekly. Archived from the original on 24 June 2021. Retrieved 17 June 2021.

cfainstitute.org

Machine learning is included in the CFA Curriculum (discussion is top-down); see: Kathleen DeRose and Christophe Le Lanno (2020). "Machine Learning" Archived 13 January 2020 at the Wayback Machine.

cmu.edu

cs.cmu.edu

Csurka, Gabriella; Dance, Christopher C.; Fan, Lixin; Willamowski, Jutta; Bray, Cédric (2004). Visual categorization with bags of keypoints (PDF). ECCV Workshop on Statistical Learning in Computer Vision. Archived (PDF) from the original on 13 July 2019. Retrieved 29 August 2019.

cornell.edu

cs.cornell.edu

"Lecture 2 Notes: Supervised Learning". www.cs.cornell.edu. Retrieved 1 July 2024.

dblp.org

"dblp: TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning". dblp.org. Archived from the original on 18 January 2022. Retrieved 17 January 2022.

doi.org

The definition "without being explicitly programmed" is often attributed to Arthur Samuel, who coined the term "machine learning" in 1959, but the phrase is not found verbatim in this publication, and may be a paraphrase that appeared later. Confer "Paraphrasing Arthur Samuel (1959), the question is: How can computers learn to solve problems without being explicitly programmed?" in Koza, John R.; Bennett, Forrest H.; Andre, David; Keane, Martin A. (1996). "Automated Design of Both the Topology and Sizing of Analog Electrical Circuits Using Genetic Programming". Artificial Intelligence in Design '96. Artificial Intelligence in Design '96. Dordrecht, Netherlands: Springer Netherlands. pp. 151–170. doi:10.1007/978-94-009-0279-4_9. ISBN 978-94-010-6610-5.
Hu, Junyan; Niu, Hanlin; Carrasco, Joaquin; Lennox, Barry; Arvin, Farshad (2020). "Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning" (PDF). IEEE Transactions on Vehicular Technology. 69 (12): 14413–14423. doi:10.1109/tvt.2020.3034800. ISSN 0018-9545. S2CID 228989788.
Yoosefzadeh-Najafabadi, Mohsen; Hugh, Earl; Tulpan, Dan; Sulik, John; Eskandari, Milad (2021). "Application of Machine Learning Algorithms in Plant Breeding: Predicting Yield From Hyperspectral Reflectance in Soybean?". Front. Plant Sci. 11: 624273. Bibcode:2021FrPS...1124273Y. doi:10.3389/fpls.2020.624273. PMC 7835636. PMID 33510761.
Samuel, Arthur (1959). "Some Studies in Machine Learning Using the Game of Checkers". IBM Journal of Research and Development. 3 (3): 210–229. CiteSeerX 10.1.1.368.2254. doi:10.1147/rd.33.0210. S2CID 2126705.
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Bzdok, Danilo; Altman, Naomi; Krzywinski, Martin (2018). "Statistics versus Machine Learning". Nature Methods. 15 (4): 233–234. doi:10.1038/nmeth.4642. PMC 6082636. PMID 30100822.
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Ramezanpour, A.; Beam, A.L.; Chen, J.H.; Mashaghi, A. (17 November 2020). "Statistical Physics for Medical Diagnostics: Learning, Inference, and Optimization Algorithms". Diagnostics. 10 (11): 972. doi:10.3390/diagnostics10110972. PMC 7699346. PMID 33228143.
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Jaiswal, Ashish; Babu, Ashwin Ramesh; Zadeh, Mohammad Zaki; Banerjee, Debapriya; Makedon, Fillia (March 2021). "A Survey on Contrastive Self-Supervised Learning". Technologies. 9 (1): 2. arXiv:2011.00362. doi:10.3390/technologies9010002. ISSN 2227-7080.
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