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Related Questions
- What are the key differences between uncertainty sampling and query-by-committee methods in active learning?
- How do algorithms like core-set and representative sampling handle class imbalance in active learning?
- What is the role of ensemble methods in selecting informative samples from imbalanced datasets?
- Can you explain the concept of pool-based active learning and how it addresses class imbalance?
- How do active learning algorithms like co-EM and conditional entropy sampling adapt to changing class distributions?
- What are the advantages and disadvantages of using active learning for imbalanced datasets compared to traditional supervised learning?
- How can we evaluate the performance of active learning algorithms on imbalanced datasets using metrics like AUC-ROC and precision-recall?
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