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Active Learning of Multi-Class Classifiers with Auxiliary Probabilistic Information
Our ability to learn accurate classification models from data is often limited by the number of available data instances. This limitation is of particular concern when data instances need to be labeled by humans and when the labeling process carries a significant cost. Recent years witnessed increas...
Tallennettuna:
| Julkaisussa: | Proc Int Fla AI Res Soc Conf |
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| Päätekijät: | , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2018
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6364859/ https://ncbi.nlm.nih.gov/pubmed/30740606 |
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