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A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates
Our hypothesis is that building ensembles of small sets of strong classifiers constructed with different learning algorithms is, on average, the best approach to classification for real-world problems. We propose a simple mechanism for building small heterogeneous ensembles based on exponentially we...
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| Publicat a: | Data Min Knowl Discov |
|---|---|
| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer US
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6790343/ https://ncbi.nlm.nih.gov/pubmed/31632184 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10618-019-00638-y |
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