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A Correction Method of a Base Classifier Applied to Imbalanced Data Classification
In this paper, the issue of tailoring the soft confusion matrix classifier to deal with imbalanced data is addressed. This is done by changing the definition of the soft neighbourhood of the classified object. The first approach is to change the neighbourhood to be more local by changing the Gaussia...
Tallennettuna:
| Julkaisussa: | Computational Science – ICCS 2020 |
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| Päätekijät: | , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2020
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7303714/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-50423-6_7 |
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