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Related Questions
- What are the primary goals of exploration and exploitation in active learning?
- How do you balance exploration and exploitation in active learning to achieve optimal results?
- What are the consequences of over-exploring or under-exploring in active learning?
- Can you provide examples of how exploration and exploitation are balanced in different active learning scenarios?
- How does the choice of exploration strategy (e.g., random, uncertainty-based) impact the trade-off between exploration and exploitation?
- Can you explain the role of the initial model quality in determining the trade-off between exploration and exploitation?
- Are there any active learning strategies that automatically adapt to the optimal trade-off between exploration and exploitation?
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