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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6790343/ https://www.ncbi.nlm.nih.gov/pubmed/31632184 http://dx.doi.org/10.1007/s10618-019-00638-y |