Active Learning of Pattern Classification Based on PEDCC-Loss
Deep learning classifiers require a large number of labeled samples to train the model. Active learning reduces the dependence of classification model on labeled samples by gradually selecting high-quality samples for iterative training. In this article, an active learning method for pattern classif...
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| Autores principales: | , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
IEEE
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/79ec406f64c141e78db6def879c1bb4b |
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