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Group-Based Active Learning of Classification Models
Learning of classification models from real-world data often requires additional human expert effort to annotate the data. However, this process can be rather costly and finding ways of reducing the human annotation effort is critical for this task. The objective of this paper is to develop and stud...
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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/PMC5512732/ https://ncbi.nlm.nih.gov/pubmed/28725882 |
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