A greedy stacking algorithm for model ensembling and domain weighting

OBJECTIVE: Because it is impossible to know which statistical learning algorithm performs best on a prediction task, it is common to use stacking methods to ensemble individual learners into a more powerful single learner. Stacking algorithms are usually based on linear models, which may run into pr...

Descripción completa

Detalles Bibliográficos
Autores principales: Kurz, Christoph F., Maier, Werner, Rink, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7017540/
https://www.ncbi.nlm.nih.gov/pubmed/32051022
http://dx.doi.org/10.1186/s13104-020-4931-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7017540/
https://www.ncbi.nlm.nih.gov/pubmed/32051022
http://dx.doi.org/10.1186/s13104-020-4931-7

Ejemplares similares