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Related Questions
- How do you handle the curse of dimensionality when applying uncertainty sampling with query-by-committee methods in high-dimensional data?
- What are the computational complexities associated with implementing query-by-committee methods in high-dimensional data?
- Can you explain how to adapt uncertainty sampling strategies to deal with the issue of overfitting in high-dimensional data?
- How do query-by-committee methods handle the problem of data sparsity in high-dimensional spaces?
- What are the trade-offs between exploration and exploitation when using uncertainty sampling with query-by-committee methods in high-dimensional data?
- Can you discuss the challenges of scaling uncertainty sampling with query-by-committee methods to very large datasets?
- How do you address the issue of estimating the uncertainty of predictions in high-dimensional data, particularly when the data is not well-behaved?
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