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Related Questions
- Can you explain the concept of Bayesian optimization and how it addresses the curse of dimensionality?
- How do probabilistic distributions in Bayesian optimization reduce the number of evaluations required to find the optimal solution?
- What is the role of the acquisition function in Bayesian optimization, and how does it help mitigate the curse of dimensionality?
- Can you provide an example of a high-dimensional optimization problem where Bayesian optimization with probabilistic distributions outperforms traditional optimization methods?
- How do probabilistic distributions in Bayesian optimization handle the issue of correlations between variables in high-dimensional spaces?
- Can you discuss the trade-off between exploration and exploitation in Bayesian optimization, and how probabilistic distributions help to balance these two objectives?
- How does the use of probabilistic distributions in Bayesian optimization impact the computational cost and scalability of the optimization process?
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