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Related Questions
- What is the concept of the acquisition function in Bayesian optimization and its importance?
- How do changes in the search space affect the performance of Bayesian optimization algorithms?
- What is the role of active learning in updating the acquisition function in response to changes in the search space?
- Can you explain the concept of expected improvement and its application in updating the acquisition function?
- How do techniques like entropy search and knowledge gradient update the acquisition function in response to changes in the search space?
- What is the difference between optimistic and pessimistic acquisition functions, and how do they handle changes in the search space?
- Can you discuss the use of probabilistic models and Bayesian inference in updating the acquisition function in response to changes in the search space?
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