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Results tagged with bayesian-optimization
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user 333768
Bayesian optimization is a family of global optimization methods which use information about previously-computed values of the function to make inference about which function values are plausibly optima. Its applications include computer experiments and hyper-parameter optimization in some machine learning models.
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How does Bayesian Optimization balance exploration with exploitation?
Adding some lines to the previous answer. The constant κ trades-off between exploration-exploitation. If the κ is high, it will focus towards high variance/point from high uncertainty. if it is very …
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