Results 231 to 240 of about 56,420 (266)
Navigating chemical space: multi-level Bayesian optimization with hierarchical coarse-graining. [PDF]
Chem SciWalter LJ, Bereau T.
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Improvement of Exciton Hamiltonians for Photosynthetic Reaction Centers by Bayesian Optimization. [PDF]
ACS OmegaShimooka W +3 more
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Robotic optimization of powdered beverages leveraging computer vision and Bayesian optimization. [PDF]
Front Robot AISzymańska E, Hughes J.
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Quantitative Elemental Oxides Analysis of Rock Cuttings Using Laser-Induced Breakdown Spectroscopy Coupled with Bayesian Optimization and Support Vector Machine. [PDF]
ACS OmegaAbu Alsaud S, Swanson A.
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Bayesian Distributionally Robust Optimization
SIAM Journal on Optimization, 2023 We introduce a new framework, Bayesian Distributionally Robust Optimization (Bayesian-DRO), for data-driven stochastic optimization where the underlying distribution is unknown. Bayesian-DRO contrasts with most of the existing DRO approaches in the use of Bayesian estimation of the unknown distribution.
Enlu Zhou +2 more
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International Journal of Data Science and Analytics, 2017
Tuning hyperparameters of machine learning models is important for their performance. Bayesian optimization has recently emerged as a de-facto method for this task. The hyperparameter tuning is usually performed by looking at model performance on a validation set.
Thanh Dai Nguyen +3 more
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Tuning hyperparameters of machine learning models is important for their performance. Bayesian optimization has recently emerged as a de-facto method for this task. The hyperparameter tuning is usually performed by looking at model performance on a validation set.
Thanh Dai Nguyen +3 more
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Bayesian optimization and genericity
Operations Research Letters, 1997zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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2016
Multi-stage cascade processes are fairly common, especially in manufacturing industry. Precursors or raw materials are transformed at each stage before being used as the input to the next stage. Setting the right control parameters at each stage is important to achieve high quality products at low cost.
Thanh Dai Nguyen +6 more
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Multi-stage cascade processes are fairly common, especially in manufacturing industry. Precursors or raw materials are transformed at each stage before being used as the input to the next stage. Setting the right control parameters at each stage is important to achieve high quality products at low cost.
Thanh Dai Nguyen +6 more
openaire +1 more source
Proceedings of the Companion Conference on Genetic and Evolutionary Computation, 2023
Ivo Couckuyt +3 more
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Ivo Couckuyt +3 more
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Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022
Ivo Couckuyt +2 more
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Ivo Couckuyt +2 more
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