Development of graphical user interface for design of experiments via Gaussian process regression and its case study
Bayesian optimization, coupled with Gaussian process regression and acquisition functions, has proven to be a powerful tool in the field of experimental design. Nevertheless, it demands a profound proficiency in software programming, machine learning, and statistical concepts. This steep learning cu...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
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| Series: | Science and Technology of Advanced Materials: Methods |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/27660400.2023.2300252 |
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