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...
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Main Authors: | Nicholas Menghi, Kemal Kacar, Will Penny |
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Format: | article |
Language: | EN |
Published: |
Public Library of Science (PLoS)
2021
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Subjects: | |
Online Access: | https://doaj.org/article/d106e5c4366f4f8fa9d3caf8aeb511cf |
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