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Related Questions
- What are the key differences between Bayesian optimization and random search in acquisition functions?
- How does the acquisition function impact the convergence rate of the optimization process?
- Can you explain the concept of 'exploitation' and 'exploration' in the context of acquisition functions?
- What are some common acquisition functions used in Bayesian optimization, and how do they balance exploration and exploitation?
- How does the choice of acquisition function affect the performance of a machine learning model?
- What is the role of the exploration-exploitation trade-off in the optimization process, and how is it addressed by acquisition functions?
- Can you provide an example of how an acquisition function might balance exploration and exploitation in a real-world optimization problem?
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