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Collective Prediction of Individual Mobility Traces for Users with Short Data History
We present and test a sequential learning algorithm for the prediction of human mobility that leverages large datasets of sequences to improve prediction accuracy, in particular for users with a short and non-repetitive data history such as tourists in a foreign country. The algorithm compensates fo...
Shranjeno v:
| izdano v: | PLoS One |
|---|---|
| Main Authors: | , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Public Library of Science
2017
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5279749/ https://ncbi.nlm.nih.gov/pubmed/28135289 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0170907 |
| Oznake: |
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