Cargando…
An Update on Statistical Boosting in Biomedicine
Statistical boosting algorithms have triggered a lot of research during the last decade. They combine a powerful machine learning approach with classical statistical modelling, offering various practical advantages like automated variable selection and implicit regularization of effect estimates. Th...
Autores principales: | Mayr, Andreas, Hofner, Benjamin, Waldmann, Elisabeth, Hepp, Tobias, Meyer, Sebastian, Gefeller, Olaf |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5558647/ https://www.ncbi.nlm.nih.gov/pubmed/28831290 http://dx.doi.org/10.1155/2017/6083072 |
Ejemplares similares
-
Predictive Modelling Based on Statistical Learning in Biomedicine
por: Gefeller, Olaf, et al.
Publicado: (2017) -
Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection
por: Mayr, Andreas, et al.
Publicado: (2016) -
Saliva proteomics updates in biomedicine
por: Katsani, Katerina R., et al.
Publicado: (2019) -
An Updated Review on Silver Nanoparticles in Biomedicine
por: Gherasim, Oana, et al.
Publicado: (2020) -
Probing for Sparse and Fast Variable Selection with Model-Based Boosting
por: Thomas, Janek, et al.
Publicado: (2017)