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Active learning for ordinal classification based on expected cost minimization
To date, a large number of active learning algorithms have been proposed, but active learning methods for ordinal classification are under-researched. For ordinal classification, there is a total ordering among the data classes, and it is natural that the cost of misclassifying an instance as an adj...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9797557/ https://www.ncbi.nlm.nih.gov/pubmed/36577793 http://dx.doi.org/10.1038/s41598-022-26844-1 |