Data assimilation with missing data in nonstationary environments for probabilistic machine learning models
In this study, we further develop the data assimilation framework proposed for probabilistic Machine Learning (ML) models, named Probabilistic Optimal Interpolation (POI), in nonstationary environments with missing data which are common in real-world situations. The dataset is based on a multi-scale...
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Main Authors: | Wei, Yuying, Law, Adrian Wing-Keung, Yang, Chun |
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Other Authors: | School of Civil and Environmental Engineering |
Format: | Article |
Language: | English |
Published: |
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/173067 |
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Institution: | Nanyang Technological University |
Language: | English |
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