161 to 170 of 1,005 Results
Jul 1, 2023 -
Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization"
Tabular Data - 26.6 KB - 7 Variables, 225 Observations - UNF:6:r1VmlSp0sWOV3KTLO6KM1Q==
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Jul 1, 2023 -
Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization"
Unknown - 74.3 KB -
MD5: cf45e3c7026ed291496941b01a37d961
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Jul 1, 2023 -
Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization"
Unknown - 62 B -
MD5: 9147ccbd0d019e6397dae2dae4b24a6c
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Jul 1, 2023 -
Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization"
Unknown - 7.4 KB -
MD5: f1c4455d655e61550e2e829b555cb63d
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Jul 1, 2023 -
Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization"
Tabular Data - 26.6 KB - 7 Variables, 225 Observations - UNF:6:F3ZKXjb34OXlR7Byp7eTWg==
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Jul 1, 2023 -
Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization"
Unknown - 4.1 KB -
MD5: dc1e9df84c93378d930dacf8f495e4b6
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Jul 1, 2023 -
Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization"
Markdown Text - 5.1 KB -
MD5: 6902da563f92dfd3ddde9f069762d8bf
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Jul 1, 2023 -
Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization"
Tabular Data - 21.5 KB - 6 Variables, 225 Observations - UNF:6:FfvXSS6Z9+31H9ZsrSlgSw==
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Jul 1, 2023 -
Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization"
Python Source Code - 31.6 KB -
MD5: 0f07098daf87104533ec316a0df968e1
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Jul 1, 2023 - Usability and Sustainability of Simulation Software
Schrader, Timo Pierre; Schneider, David; Uekermann, Benjamin, 2023, "Replication Data for: Data-Parallel Radial-Basis Function Interpolation in preCICE", https://doi.org/10.18419/DARUS-3574, DaRUS, V1
This dataset contains setup and result files for the performance measurements presented in Schneider et al. "Data-Parallel Radial-Basis Function Interpolation in preCICE". Furthermore, it contains the used snapshot of preCICE, ASTE, and Gingko. See the README for information on how to build and run the cases. |