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LMGAN: Linguistically Informed Semi-Supervised GAN with Multiple Generators
Semi-supervised learning is one of the active research topics these days. There is a trial that solves semi-supervised text classification with a generative adversarial network (GAN). However, its generator has a limitation in producing fake data distributions that are similar to real data distribut...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695292/ https://www.ncbi.nlm.nih.gov/pubmed/36433358 http://dx.doi.org/10.3390/s22228761 |