May 15, 2024, 4:42 a.m. | Nathaniel J. Evans, Gordon B. Mills, Guanming Wu, Xubo Song, Shannon McWeeney

cs.LG updates on arXiv.org arxiv.org

arXiv:2405.08217v1 Announce Type: new
Abstract: High-quality data is crucial for accurate machine learning and actionable analytics, however, mislabeled or noisy data is a common problem in many domains. Distinguishing low- from high-quality data can be challenging, often requiring expert knowledge and considerable manual intervention. Data Valuation algorithms are a class of methods that seek to quantify the value of each sample in a dataset based on its contribution or importance to a given predictive task. These data values have shown …

abstract algorithms analytics arxiv class cs.lg data domains expert gradient however knowledge low machine machine learning q-bio.gn q-bio.qm quality quality data seek stat.ml type valuation

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