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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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Hlavní autoři: Cohen, Yarden, Schneidman, Elad
Médium: Artigo
Jazyk:Inglês
Vydáno: National Academy of Sciences 2013
Témata:
On-line přístup: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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