Performance under data corruption follows an exponential diminishing-return curve, noise harms more than missingness, imputation helps only when accurate, and adding data cannot fully compensate.
Compression of GNSS Data with the Aim of Speeding Up Communication to Autonomous Vehicles
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Navigating Data Corruption in Machine Learning: Balancing Quality, Quantity, and Imputation Strategies
Performance under data corruption follows an exponential diminishing-return curve, noise harms more than missingness, imputation helps only when accurate, and adding data cannot fully compensate.