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Batch Mode Active Sampling based on Marginal Probability Distribution Matching
Active Learning is a machine learning and data mining technique that selects the most informative samples for labeling and uses them as training data; it is especially useful when there are large amount of unlabeled data and labeling them is expensive. Recently, batch-mode active learning, where a s...
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| Hlavní autoři: | , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2012
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4191836/ https://ncbi.nlm.nih.gov/pubmed/25309807 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/2339530.2339647 |
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