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A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction
Prediction of individual mobility is crucial in human mobility related applications. Whereas, existing research on individual mobility prediction mainly focuses on next location prediction and short-term dependencies between traveling locations. Long-term location sequence prediction is of great imp...
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| Pubblicato in: | Neurocomputing |
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| Autori principali: | , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier B.V.
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7252178/ https://ncbi.nlm.nih.gov/pubmed/32501365 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neucom.2020.03.080 |
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