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When unsupervised training benefits category learning
Humans continuously categorise inputs, but only rarely receive explicit feedback as to whether or not they are correct. This implies that they may be integrating unsupervised information together with their sparse supervised data – a form of semi-supervised learning. However, experiments testing sem...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8811482/ https://www.ncbi.nlm.nih.gov/pubmed/34954447 http://dx.doi.org/10.1016/j.cognition.2021.104984 |