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20182026
most citedA metrological framework for uncertainty evaluation in machine learning classification models

7 citations · 12 across the 7 of their papers we have counts for

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math.NA2018

Matrix rigidity and the ill-posedness of Robust PCA and matrix completion

Jared Tanner, Andrew Thompson, Simon Vary

Robust Principal Component Analysis (PCA) (Candes et al., 2011) and low-rank matrix completion (Recht et al., 2010) are extensions of PCA to allow for outliers and missing entries…