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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Main Authors: | , , , |
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Format: | article |
Language: | EN |
Published: |
IEEE
2021
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Subjects: | |
Online Access: | https://doaj.org/article/79ec406f64c141e78db6def879c1bb4b |
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