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About Data Mining - Utrecht University - 13. Active Learning
The document discusses active learning, which is a technique that allows a machine learning model to select the most informative unlabeled examples to receive labels for, in order to more efficiently train models when labeling data is expensive. It outlines the motivation and context of active learning, compares it to related techniques like semi-supervised learning, and describes common active learning approaches such as uncertainty sampling and expected error reduction.
Detailed Information
| Author: | ['Leonardo Vida'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 57 |
| Language: | English |
| Format: | |
| Price: | FREE |
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