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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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Math Geosci
Egile Nagusiak: Yao, Lingqing, Dimitrakopoulos, Roussos, Gamache, Michel
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Springer Berlin Heidelberg 2019
Gaiak:
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC7346981/
https://ncbi.nlm.nih.gov/pubmed/32670433
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11004-019-09843-3
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