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Discriminative and informative features for biomolecular text mining with ensemble feature selection
Motivation: In the field of biomolecular text mining, black box behavior of machine learning systems currently limits understanding of the true nature of the predictions. However, feature selection (FS) is capable of identifying the most relevant features in any supervised learning setting, providin...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2010
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2935429/ https://www.ncbi.nlm.nih.gov/pubmed/20823321 http://dx.doi.org/10.1093/bioinformatics/btq381 |