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Related Questions
- What are the key differences in computational complexity between query by committee and random sampling in machine learning?
- How does query by committee reduce the number of required queries compared to random sampling?
- Can you explain the trade-off between query efficiency and model accuracy in query by committee versus random sampling?
- What are the scenarios where query by committee outperforms random sampling in terms of computational efficiency?
- How does the concept of 'committee' in query by committee affect the computational efficiency of the algorithm?
- What are the implications of using query by committee on the scalability of machine learning models?
- Can you provide a numerical example to illustrate the computational advantages of query by committee over random sampling?
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