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A novel logistic regression model combining semi-supervised learning and active learning for disease classification
Traditional supervised learning classifier needs a lot of labeled samples to achieve good performance, however in many biological datasets there is only a small size of labeled samples and the remaining samples are unlabeled. Labeling these unlabeled samples manually is difficult or expensive. Techn...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6115447/ https://ncbi.nlm.nih.gov/pubmed/30158596 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-31395-5 |
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