Landslide susceptibility mapping by attentional factorization machines considering feature interactions

Landslide susceptibility mapping (LSM) is a commonly used approach to reduce landslide risk. However, conventional LSM methods generally only consider the influence of each single conditioning factor on landslide occurrence or absence, which neglects the interactions of different conditioning factor...

Descripción completa

Detalles Bibliográficos

Autores principales:	Lei-Lei Liu, Can Yang, Fa-Ming Huang, Xiao-Mi Wang
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Taylor & Francis Group 2021-01-01
Colección:	Geomatics, Natural Hazards & Risk
Materias:	landslide susceptibility mapping machine learning random forest feature interaction attentional factorization machine (afm).
Acceso en línea:	http://dx.doi.org/10.1080/19475705.2021.1950217
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!