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Efficient Learning of Classification Models from Soft-label Information by Binning and Ranking
Construction of classification models from data in practice often requires additional human effort to annotate (label) observed data instances. However, this annotation effort may often be too costly and only a limited number of data instances may be feasibly labeled. The challenge is to find method...
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| Publicado no: | Proc Int Fla AI Res Soc Conf |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5512716/ https://ncbi.nlm.nih.gov/pubmed/28725883 |
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