Cargando…
High-Order Sequential Simulation via Statistical Learning in Reproducing Kernel Hilbert Space
The present work proposes a new high-order simulation framework based on statistical learning. The training data consist of the sample data together with a training image, and the learning target is the underlying random field model of spatial attributes of interest. The learning process attempts to...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2019
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7346981/ https://www.ncbi.nlm.nih.gov/pubmed/32670433 http://dx.doi.org/10.1007/s11004-019-09843-3 |