Cargando…
Sparse Damage Detection with Complex Group Lasso and Adaptive Complex Group Lasso
Sparsity-based methods have recently come to the foreground of damage detection applications posing a robust and efficient alternative for traditional approaches. At the same time, low-frequency inspection is known to enable global monitoring with waves propagating over large distances. In this pape...
Autores principales: | Dimopoulos, Vasileios, Desmet, Wim, Deckers, Elke |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025675/ https://www.ncbi.nlm.nih.gov/pubmed/35458963 http://dx.doi.org/10.3390/s22082978 |
Ejemplares similares
-
Groupyr: Sparse Group Lasso in Python
por: Richie-Halford, Adam, et al.
Publicado: (2021) -
Seagull: lasso, group lasso and sparse-group lasso regularization for linear regression models via proximal gradient descent
por: Klosa, Jan, et al.
Publicado: (2020) -
Genetic Variants Detection Based on Weighted Sparse Group Lasso
por: Che, Kai, et al.
Publicado: (2020) -
Regularized group regression methods for genomic prediction: Bridge, MCP, SCAD, group bridge, group lasso, sparse group lasso, group MCP and group SCAD
por: Ogutu, Joseph O, et al.
Publicado: (2014) -
Identification of hospital cost drivers using sparse group lasso
por: Swierkowski, Piotr, et al.
Publicado: (2018)