Active Learning
Machine Learning
Models that query for labels on the most informative data.
Detailed Explanation
Active Learning is a machine learning approach where models selectively query for labels on the most informative or uncertain data points. This strategy reduces the labeling effort by focusing on data that improves model performance the most, enabling faster learning with fewer labeled examples, and is especially useful when labeled data is scarce or expensive to obtain.
Use Cases
- •Optimizes medical image annotation by selectively labeling uncertain cases, reducing annotation costs and accelerating model accuracy improvements.
Related Terms
Other terms in the Machine Learning category