Pages that link to "Item:Q2022175"
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The following pages link to Gaussian process optimization with failures: classification and convergence proof (Q2022175):
Displaying 7 items.
- A new \texttt{DIRECT-GLh} algorithm for global optimization with hidden constraints (Q2047183) (← links)
- Gaussian process surrogates for failure detection: a Bayesian experimental design approach (Q2375069) (← links)
- Learning Enabled Constrained Black-Box Optimization (Q5153491) (← links)
- A hybrid model-classifier framework for managing prediction uncertainty in expensive optimisation problems (Q5497417) (← links)
- Global optimization for mixed categorical-continuous variables based on Gaussian process models with a randomized categorical space exploration step (Q5882394) (← links)
- A taxonomy of constraints in black-box simulation-based optimization (Q6572738) (← links)
- DIRECTGO: A new DIRECT-type MATLAB toolbox for derivative-free global optimization (Q6599982) (← links)
