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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...
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| Vydáno v: | BMC Res Notes |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BioMed Central
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7017540/ https://ncbi.nlm.nih.gov/pubmed/32051022 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13104-020-4931-7 |
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