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Gaussian Process Regression (GPR) Representation in Predictive Model Markup Language (PMML)
This paper describes Gaussian process regression (GPR) models presented in predictive model markup language (PMML). PMML is an extensible-markup-language (XML) -based standard language used to represent data-mining and predictive analytic models, as well as pre- and post-processed data. The previous...
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| 出版年: | Smart Sustain Manuf Syst |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5705103/ https://ncbi.nlm.nih.gov/pubmed/29202125 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1520/SSMS20160008 |
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