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Bidirectional imputation of spatial GPS trajectories with missingness using sparse online Gaussian Process
OBJECTIVE: We propose a bidirectional GPS imputation method that can recover real-world mobility trajectories even when a substantial proportion of the data are missing. The time complexity of our online method is linear in the sample size, and it provides accurate estimates on daily or hourly summa...
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| 出版年: | J Am Med Inform Assoc |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2021
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8324229/ https://ncbi.nlm.nih.gov/pubmed/34100950 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocab069 |
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