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Related Questions
- What is the purpose of the acquisition function in Bayesian optimization?
- How does the expected improvement (EI) metric contribute to the acquisition function?
- What is the probability of improvement (PI) metric, and how is it calculated?
- How do EI and PI differ in their approach to optimizing the acquisition function?
- What are some common acquisition functions used in Bayesian optimization, and their key characteristics?
- How does the acquisition function balance exploration and exploitation in Bayesian optimization?
- Can you provide an example of how the acquisition function is used in a real-world Bayesian optimization problem?
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