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Estimation of Clustering Parameters Using Gaussian Process Regression
We propose a method for estimating the clustering parameters in a Neyman-Scott Poisson process using Gaussian process regression. It is assumed that the underlying process has been observed within a number of quadrats, and from this sparse information the distribution is modelled as a Gaussian proce...
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| Izdano u: | PLoS One |
|---|---|
| Glavni autori: | , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Public Library of Science
2014
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4226493/ https://ncbi.nlm.nih.gov/pubmed/25383766 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0111522 |
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