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Comparing methods of category learning: Classification versus feature inference
Categories have at least two main functions: classification of instances and feature inference. Classification involves assigning an instance to a category, and feature inference involves predicting a feature for a category instance. Correspondingly, categories can be learned in two distinct ways, b...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320051/ https://www.ncbi.nlm.nih.gov/pubmed/32078736 http://dx.doi.org/10.3758/s13421-020-01022-8 |