A feature restoration for machine learning on anti-corrosion materials
Materials informatics often struggles with small datasets. Our study introduces the Gaussian Mixture Model Virtual Sample Generation (GMM-VSG) approach to enhance feature correlation by generating virtual samples. Applied to six small and one large dataset of 218 N-heterocyclic compounds, GMM-VSG si...
Guardado en:
| Autores principales: | , , , |
|---|---|
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Elsevier
2024-12-01
|
| Colección: | Case Studies in Chemical and Environmental Engineering |
| Materias: | |
| Acceso en línea: | http://www.sciencedirect.com/science/article/pii/S2666016424002962 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|