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Related Questions
- What are the primary methods used to identify and select the most informative samples for active learning in biased datasets?
- How do techniques such as uncertainty sampling and query-by-committee compare in terms of selecting informative samples?
- What is the role of data preprocessing in reducing bias in datasets and how does it impact active learning?
- Can you explain the concept of core-set selection and its application in active learning for biased datasets?
- How do techniques such as active learning with adversarial training and co-training address the issue of bias in datasets?
- What are some common metrics used to evaluate the performance of active learning algorithms in biased datasets?
- How does the concept of semi-supervised learning relate to active learning and how can it be used to address biased datasets?
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