A two-phase random forest with differential privacy
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-04119-6.pdf
Reference50 articles.
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3. Aydadenta H (2018) A clustering approach for feature selection in microarray data classification using random forest. J Inf Process Syst 14(5):1167–1175
4. Schulter S, Leistner C, Wohlhart P, Roth PM, Bischof H (2014) Accurate object detection with joint classification-regression random forests. In: Proceedings of the conference on computer vision and pattern recognition, pp 923–930
5. Maas AE, Rottensteiner F, Heipke C (2019) A label noise tolerant random forest for the classification of remote sensing data based on outdated maps for training. Comput Vis Image Underst 188:102782
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