Outlier Detection with Reinforcement Learning for Costly to Verify Data

Outlier Detection with Reinforcement Learning for Costly to Verify Data

Outliers are often present in data and many algorithms exist to find these outliers. Often we can verify these outliers to determine whether they are data errors or not. Unfortunately, checking such points is time-consuming and the underlying issues leading to the data error can change over time. An...

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Bibliographic Details
Main Authors: Michiel Nijhuis, Iman van Lelyveld
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Entropy
Subjects:
reinforcement learning
algorithm design
outlier detection
anomaly detection
outlier ensembles
Online Access:https://www.mdpi.com/1099-4300/25/6/842

Internet

https://www.mdpi.com/1099-4300/25/6/842

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