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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2020
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| 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 |