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Related Questions
- What is the purpose of normalization in Bayesian optimization, and how does it affect the search process?
- Can you explain the different types of normalization techniques used in Bayesian optimization, such as standardization and feature scaling?
- How does normalization impact the exploration-exploitation trade-off in Bayesian optimization, and what are the implications for the algorithm's performance?
- What are some common challenges associated with normalization in Bayesian optimization, and how can they be addressed?
- Can you provide examples of real-world applications where normalization has been used in Bayesian optimization to improve performance?
- How does normalization interact with other techniques in Bayesian optimization, such as acquisition function design and hyperparameter tuning?
- What are some best practices for choosing and implementing normalization techniques in Bayesian optimization, and how can they be optimized for specific problem domains?
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