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Hierarchical Active Learning with Proportion Feedback on Regions
Learning of classification models in practice often relies on human annotation effort in which humans assign class labels to data instances. As this process can be very time-consuming and costly, finding effective ways to reduce the annotation cost becomes critical for building such models. To solve...
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| Pubblicato in: | Mach Learn Knowl Discov Databases |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6363363/ https://ncbi.nlm.nih.gov/pubmed/30740605 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-10928-8_28 |
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