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Multitask learning over shared subspaces
This paper uses constructs from machine learning to define pairs of learning tasks that either shared or did not share a common subspace. Human subjects then learnt these tasks using a feedback-based approach and we hypothesised that learning would be boosted for shared subspaces. Our findings broad...
Autores principales: | Menghi, Nicholas, Kacar, Kemal, Penny, Will |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8284664/ https://www.ncbi.nlm.nih.gov/pubmed/34228719 http://dx.doi.org/10.1371/journal.pcbi.1009092 |
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