漂泊 发表于 2025-3-26 23:20:04
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Automated Detection of Drift in Deep Learning Based Classifiers Performance Using Network Embeddingthe data, may degrade the performance of the neural network below an anticipated and desired threshold. However, if the production data is not labeled, as is typically the case in deployment time, detection of such a drift in network performance is not straightforward. We develop a technique that id恸哭 发表于 2025-3-27 08:26:41
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Asymptotic Expansions and Two-Sided Bounds in Randomized Central Limit Theorems,the normal law. The results are illustrated for several classes of random variables whose joint distributions are supported on Euclidean spheres. We also survey several results on improved rates of normal approximation in randomized central limit theorems.Adherent 发表于 2025-3-27 13:53:50
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