Robustness of Classification Algorithm in the Face of Label Noise

ZHAO, Jiawei and KANG, Mengyao and HAN, Zheng (2023) Robustness of Classification Algorithm in the Face of Label Noise. EAI Endorsed Transactions on Internet of Things.

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Abstract

Label noise is an important part in the process of machine learning. Transition matrix provides an effective way to reduce the impact of label noise on classification algorithm. In this experiment, we study logistic regression algorithm and random forest algorithm. We use the known real transition m

Item Type: Article
Date Deposited: 04 Mar 2026 16:31
Last Modified: 11 Apr 2026 07:23
URI: http://eprints.eai.eu/id/eprint/44159

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