Pages that link to "Item:Q1177909"
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The following pages link to Bayesian methods in global optimization (Q1177909):
Displaying 29 items.
- Global approximation to arbitrary cost functions: a Bayesian approach with application to US banking (Q299808) (← links)
- Machine learning for global optimization (Q434171) (← links)
- Internal modelling of objective functions for global optimization (Q1068723) (← links)
- Bayesian approach to global optimization and application to multiobjective and constrained problems (Q1176841) (← links)
- Algorithms for multi-extremal mathematical programming problems employing the set of joint space-filling curves (Q1201903) (← links)
- Bayesian optimization and genericity (Q1267198) (← links)
- On a new stochastic global optimization algorithm based on censored observations (Q1315438) (← links)
- A parallel method for finding the global minimum of univariate functions (Q1321483) (← links)
- Application of Bayesian approach to numerical methods of global and stochastic optimization (Q1327427) (← links)
- Bayesian algorithms for one-dimensional global optimization (Q1359044) (← links)
- Scalability of the Bayesian optimization algorithm. (Q1399504) (← links)
- Posterior exploration based sequential Monte Carlo for global optimization (Q1685582) (← links)
- Bayesian emulation for multi-step optimization in decision problems (Q1757667) (← links)
- An adaptive stochastic global optimization algorithm for one-dimensional functions (Q1904720) (← links)
- Stochastic optimization with adaptive restart: a framework for integrated local and global learning (Q2022223) (← links)
- Optimised one-class classification performance (Q2102347) (← links)
- Combining Bayesian optimization and Lipschitz optimization (Q2303661) (← links)
- Consistency of a myopic Bayesian algorithm for one-dimensional global optimization (Q2366971) (← links)
- Selection of a covariance function for a Gaussian random field aimed for modeling global optimization problems (Q2414108) (← links)
- Bayesian Monte Carlo for the Global Optimization of Expensive Functions (Q2999144) (← links)
- Bayesian stopping rules for multistart global optimization methods (Q3030595) (← links)
- (Q4000303) (← links)
- Bayesian Optimization for Cascade-Type Multistage Processes (Q5054925) (← links)
- Bayesian Optimization Allowing for Common Random Numbers (Q5060516) (← links)
- Bayesian and High-Dimensional Global Optimization (Q5146731) (← links)
- Approximate Bayesian inference for simulation and optimization (Q5351611) (← links)
- Survey on Bayesian optimization methodology and applications (Q5381980) (← links)
- Machine Learning Surrogate Modeling for Meshless Methods: Leveraging Universal Approximation (Q6048309) (← links)
- A genetic algorithm based optimized convolutional neural network for face recognition (Q6100059) (← links)
