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Learning classification models with soft-label information
OBJECTIVE: Learning of classification models in medicine often relies on data labeled by a human expert. Since labeling of clinical data may be time-consuming, finding ways of alleviating the labeling costs is critical for our ability to automatically learn such models. In this paper we propose a ne...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BMJ Publishing Group
2014
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3994863/ https://ncbi.nlm.nih.gov/pubmed/24259520 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2013-001964 |
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