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High-order feature-based mixture models of classification learning predict individual learning curves and enable personalized teaching
Pattern classification learning tasks are commonly used to explore learning strategies in human subjects. The universal and individual traits of learning such tasks reflect our cognitive abilities and have been of interest both psychophysically and clinically. From a computational perspective, these...
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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
National Academy of Sciences
2013
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3545760/ https://ncbi.nlm.nih.gov/pubmed/23269833 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1211606110 |
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