On the Enhancement of Classification Algorithms Using Biased Samples
Classification algorithms' performance could be enhanced by selecting many representative points to be included in the training sample. In this paper, a new border and rare biased sampling (BRBS) scheme is proposed by assigning each point in the dataset an importance factor. The importance fac...
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| Format: | Article |
| Language: | English |
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Asociación Española para la Inteligencia Artificial
2019-10-01
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| Series: | Inteligencia Artificial |
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| Online Access: | https://journal.iberamia.org/index.php/intartif/article/view/316 |