A Meta Learning-Based Approach for Zero-Shot Co-Training
The lack of labeled data is one of the main obstacles to the application of machine learning algorithms in a variety of domains. Semi-supervised learning, where additional samples are automatically labeled, is a common and cost-effective approach to address this challenge. A popular semi-supervised...
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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/e8c7cfc74f4940ecba62eff0d32920f3 |
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