Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Nolan Conaway"'
Autor:
Kenneth J. Kurtz, Nolan Conaway
Publikováno v:
Psychonomic Bulletin & Review. 24:1312-1323
Reference point approaches have dominated the study of categorization for decades by explaining classification learning in terms of similarity to stored exemplars or averages of exemplars. The most successful reference point models are firmly grounde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eed18dc6323d97894fae890f1c7f773a
https://doi.org/10.3758/s13423-016-1208-1
https://doi.org/10.3758/s13423-016-1208-1
The ability to generate new concepts and ideas is among the most fascinating aspects of human cognition, but we do not have a strong understanding of the cognitive processes and representations underlying concept generation. In this paper, we study t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08b2399dc2d6d4b900a0255b72f0acdd
https://psyarxiv.com/zsbqc
https://psyarxiv.com/zsbqc
Publikováno v:
Memorycognition. 48(3)
While the ability to acquire non-linearly separable (NLS) classifications is well documented in the study of human category learning, the relative ease of learning compared to a linear separable structure is difficult to evaluate without potential co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ee4f96c292b4b94be62341166c0ae2d
https://pubmed.ncbi.nlm.nih.gov/31429047
https://pubmed.ncbi.nlm.nih.gov/31429047
Autor:
Nolan Conaway, Kenneth J. Kurtz
Publikováno v:
Neural computation. 29(3)
Since the work of Minsky and Papert ( 1969 ), it has been understood that single-layer neural networks cannot solve nonlinearly separable classifications (i.e., XOR). We describe and test a novel divergent autoassociative architecture capable of solv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d32268c1412702289e576f39651c1b8
https://pubmed.ncbi.nlm.nih.gov/28095197
https://pubmed.ncbi.nlm.nih.gov/28095197