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Learning Linear Dynamical Systems from Multivariate Time Series: A Matrix Factorization Based Framework
The linear dynamical system (LDS) model is arguably the most commonly used time series model for real-world engineering and financial applications due to its relative simplicity, mathematically predictable behavior, and the fact that exact inference and predictions for the model can be done efficien...
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| Gepubliceerd in: | Proc SIAM Int Conf Data Min |
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| Hoofdauteurs: | , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2016
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5098501/ https://ncbi.nlm.nih.gov/pubmed/27830108 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1137/1.9781611974348.91 |
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