Semi-supervised Learning Algorithm Based on Maximum Margin and Manifold Hypothesis
Semi-supervised learning is a weakly supervised learning pattern between supervised learning and unsupervised lear-ning.It combines a small number of labeled instances with a large number of unlabeled instances to build a model during the process of learning,hoping to achieve better learning accurac...
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| Autor principal: | |
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| Formato: | Artigo |
| Idioma: | Chinês |
| Publicado em: |
Editorial office of Computer Science
2024-02-01
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| coleção: | Jisuanji kexue |
| Assuntos: | |
| Acesso em linha: | https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2024-51-2-259.pdf |
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