Selective Sampling for Nearest Neighbor Classifiers.
Most existing inductive learning algorithms work under the assumption that their training examples are already tagged. There are domains, however, where the tagging procedure requires significant computation resources or manual labor. In such cases, it may be beneficial for the learner to be active,...
| Gepubliceerd in: | Machine learning. 54, 2 (2004). |
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| Formaat: | Artikel |
| Taal: | English |
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