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Issue Date
Title
Author(s)
2016
Structure at every scale: a semantic network account of the similarities between unrelated concepts
De Deyne, S.
;
Navarro, D.
;
Perfors, A.
;
Storms, G.
2016
Sensitivity to hypothesis size during information search
Hendrickson, A.T.
;
Navarro, D.J.
;
Perfors, A.
2016
Leaping to Conclusions: Why Premise Relevance Affects Argument Strength
Ransom, K.
;
Perfors, A.
;
Navarro, D.
2016
Adult regularization of inconsistent input depends on pragmatic factors
Perfors, A.
2016
The helpfulness of category labels in semi-supervised learning depends on category structure
Vong, W.
;
Navarro, D.
;
Perfors, A.
Discover
Author
3
Navarro, D.
1
De Deyne, S.
1
Hendrickson, A.T.
1
Navarro, D.J.
1
Ransom, K.
1
Storms, G.
1
Vong, W.
Subject
1
Bayesian modeling; Category-based...
1
Category learning
1
computational modeling
1
Confirmation bias; hypothesis tes...
1
semi-supervised learning
1
word associations; similarity; se...