A Simulation-based Approach for Quantifying the Impact of Interactive Label Correction for Machine Learning

Recent years have witnessed growing interest in understanding the sensitivity of machine learning to training data characteristics. While researchers have claimed the benefits of activities such as a human-in-the-loop approach of interactive label correction for improving model performance, there ha...

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Veröffentlicht in:	IEEE transactions on visualization and computer graphics. - 1996. - PP(2024) vom: 26. Sept.
1. Verfasser:	Wang, Yixuan (VerfasserIn)
Weitere Verfasser:	Zhao, Jieqiong, Hong, Jiayi, Askin, Ronald G, Maciejewski, Ross
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2024
Zugriff auf das übergeordnete Werk:	IEEE transactions on visualization and computer graphics
Schlagworte:	Journal Article