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Linking Gaussian process regression with data-driven manifold embeddings for nonlinear data fusion
In statistical modelling with Gaussian process regression, it has been shown that combining (few) high-fidelity data with (many) low-fidelity data can enhance prediction accuracy, compared to prediction based on the few high-fidelity data only. Such information fusion techniques for multi-fidelity d...
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| Publicado no: | Interface Focus |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Royal Society
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6501345/ https://ncbi.nlm.nih.gov/pubmed/31065346 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsfs.2018.0083 |
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