Cargando…
An Application of an Embedded Model Estimator to a Synthetic Nonstationary Reservoir Model With Multiple Secondary Variables
A method (Ember) for nonstationary spatial modeling with multiple secondary variables by combining Geostatistics with Random Forests is applied to a three-dimensional Reservoir Model. It extends the Random Forest method to an interpolation algorithm retaining similar consistency properties to both G...
Autor principal: | Daly, Colin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8083000/ https://www.ncbi.nlm.nih.gov/pubmed/33937743 http://dx.doi.org/10.3389/frai.2021.624697 |
Ejemplares similares
-
Generating high-fidelity privacy-conscious synthetic patient data for causal effect estimation with multiple treatments
por: Shi, Jingpu, et al.
Publicado: (2022) -
Identification of offensive language in Urdu using semantic and embedding models
por: Hussain, Sajid, et al.
Publicado: (2022) -
Survey on graph embeddings and their applications to machine learning problems on graphs
por: Makarov, Ilya, et al.
Publicado: (2021) -
Synthetic OCT Data Generation to Enhance the Performance of Diagnostic Models for Neurodegenerative Diseases
por: Danesh, Hajar, et al.
Publicado: (2022) -
Augmenting Semantic Lexicons Using Word Embeddings and Transfer Learning
por: Alshaabi, Thayer, et al.
Publicado: (2022)