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MapReduce particle filtering with exact resampling and deterministic runtime
Particle filtering is a numerical Bayesian technique that has great potential for solving sequential estimation problems involving non-linear and non-Gaussian models. Since the estimation accuracy achieved by particle filters improves as the number of particles increases, it is natural to consider a...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6959401/ https://www.ncbi.nlm.nih.gov/pubmed/32010202 http://dx.doi.org/10.1186/s13634-017-0505-9 |