Boost two-view learning-based method for label proportions problem
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-023-04643-z.pdf
Reference62 articles.
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3. Qian Y, Tong Q, Wang B (2019) Multi-Class Learning from Label Proportions for Bank Customer Classification. Procedia Comput Sci 162:421–428. https://doi.org/10.1016/j.procs.2019.12.006
4. Chen Z, Chen W, Shi Y (2020) Ensemble learning with label proportions for bankruptcy prediction. Expert Syst Appl 146:113155. https://doi.org/10.1016/j.eswa.2019.113155
5. Ardehaly EM, Culotta A (2017) Co-Training for Demographic Classification Using Deep Learning from Label Proportions. In: 2017 IEEE International Conference on Data Mining Workshops (ICDMW). pp 1017–1024. https://doi.org/10.1109/ICDMW.2017.144
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