We utilize neural network embeddings to detect data drift by formulating the drift detection within an appropriate sequential decision framework. This enables control of the false alarm rate although the statistical tests are repeatedly applied.
Jul 31, 2020
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Jul 31, 2020 · Abstract. We utilize neural network embeddings to detect data drift by formulating the drift detection within an appropriate sequential ...
Nov 14, 2023 · Drift refers to the phenomenon where the performance of a trained machine learning model degrades over time due to changes in the underlying data distribution.
We utilize neural network embeddings to detect data drift by formulating the drift detection within an appropriate sequential decision framework. Change ...
Jan 11, 2023 · Drift is a term used in machine learning to describe how the performance of a machine learning model in production slowly gets worse over time.
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