Pages that link to "Item:Q382006"
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The following pages link to Exploring or reducing noise? A global optimization algorithm in the presence of noise (Q382006):
Displaying 12 items.
- Default policies for global optimisation of noisy functions with severe noise (Q522287) (← links)
- One-dimensional global optimization for observations with noise (Q814080) (← links)
- Tabu search when noise is present: An illustration in the context of cause and effect analysis (Q1273647) (← links)
- Almost surely convergent global optimziation algorithm using noise-corrupted observations (Q1579659) (← links)
- Surrogate-based feasibility analysis for black-box stochastic simulations with heteroscedastic noise (Q1668809) (← links)
- A derivative-free optimization algorithm for the efficient minimization of functions obtained via statistical averaging (Q1986101) (← links)
- Safe global optimization of expensive noisy black-box functions in the \(\delta \)-Lipschitz framework (Q2156906) (← links)
- Conditional optimization of a noisy function using a kriging metamodel (Q2416583) (← links)
- Using global optimization for a microparticle identification problem with noisy data (Q2494286) (← links)
- Minimization of functions observed with noise (Q3990115) (← links)
- Towards global parameter estimation exploiting reduced data sets (Q6065211) (← links)
- A branch-and-bound algorithm with growing datasets for large-scale parameter estimation (Q6586253) (← links)
