Positive feedback loops lead to concept drift in machine learning systems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-023-04615-3.pdf
Reference34 articles.
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3. Hu L, Chen Y, Champin P-A, Gandon F, Médini L, (eds) A short-term intervention for long-term fairness in the labor market. (eds Champin P-A, Gandon F, Médini L) Proceedings of the (2018) world wide web conference, WWW ’18, 1389–1398 (international world wide web conferences steering committee. Republic and Canton of Geneva, CHE, p 2018
4. Khritankov A, Winkler D, Biffl S, Mendez D, Wimmer M, Bergsmann J (eds) Hidden feedback loops in machine learning systems: a simulation model and preliminary results. (eds Winkler D, Biffl S, Mendez D, Wimmer M, Bergsmann J) 13th International conference, SWQD 2021, Vienna, Austria, January 19–21, 2021, vol 404 of software quality: future perspectives on software engineering quality, pp 54–65 (Springer International Publishing, 2021)
5. Lu J et al (2019) Learning under concept drift: a review. IEEE Trans Knowl Data Eng 31(12):2346–2363. https://doi.org/10.1109/TKDE.2018.2876857
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