Yüklüyor......
Adaptive Sampling for Learning Gaussian Processes Using Mobile Sensor Networks
This paper presents a novel class of self-organizing sensing agents that adaptively learn an anisotropic, spatio-temporal Gaussian process using noisy measurements and move in order to improve the quality of the estimated covariance function. This approach is based on a class of anisotropic covarian...
Kaydedildi:
| Asıl Yazarlar: | , |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Molecular Diversity Preservation International (MDPI)
2011
|
| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3231612/ https://ncbi.nlm.nih.gov/pubmed/22163785 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s110303051 |
| Etiketler: |
Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
|