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A Novel Active Learning Regression Framework for Balancing the Exploration-Exploitation Trade-Off
Recently, active learning is considered a promising approach for data acquisition due to the significant cost of the data labeling process in many real world applications, such as natural language processing and image processing. Most active learning methods are merely designed to enhance the learni...
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| Pubblicato in: | Entropy (Basel) |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7515147/ https://ncbi.nlm.nih.gov/pubmed/33267365 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e21070651 |
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