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Active learning

Last updated Apr 10, 2022 Edit Source

Active learning refers to algorithms that take an active role in the selection of which ex-amples are labeled. Active learning assumes that there is an ‘oracle’, such as a human expert, that can be queried to get ground-truth labels for selected unlabeled instances

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# Active learning for anomaly discovery