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Related Questions
- What are some common biases that can occur in active learning, such as sampling bias or confirmation bias?
- How can data preprocessing and feature engineering help mitigate biases in active learning?
- What role can ensemble methods play in reducing biases in active learning?
- Can you explain the concept of 'cold start' bias in active learning and how to address it?
- How can active learning be used to detect and mitigate biases in machine learning models?
- What are some techniques for evaluating and mitigating biases in active learning, such as fairness metrics or bias detection algorithms?
- Can you discuss the impact of human annotator bias on active learning and how to minimize its effects?
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