Zobrazeno 1 - 10
of 15 049
pro vyhledávání: '"DUAL (cognitive architecture)"'
Autor:
Edward A. Johnson, Donald W. Stewart
Publikováno v:
Training and Education in Professional Psychology. 17:142-148
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ec25fcaac0cb3a5f9b4fae57b63e2dd
https://doi.org/10.1037/tep0000393
https://doi.org/10.1037/tep0000393
Publikováno v:
British Journal of Political Science. :1-17
Political conservatives' opposition to COVID-19 restrictions is puzzling given the well-documented links between conservatism and conformity, threat sensitivity, and pathogen aversion. We propose a resolution based on the Dual Foundations Theory of i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c9985b705ce43ecd1f0c85b6787af0d
https://doi.org/10.1017/s000712342200076x
https://doi.org/10.1017/s000712342200076x
Publikováno v:
IEEE Transactions on Engineering Management. 70:1124-1146
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::390846018c0dbf93f4013e3674ea0cb6
https://doi.org/10.1109/tem.2021.3123945
https://doi.org/10.1109/tem.2021.3123945
Publikováno v:
IEEE Transactions on Multimedia. 25:77-89
Currently, with the rapid development of mobile Internet, micro-video has become a prevailing format of user-generated contents (UGCs) on various social media platforms. Several studies have been conducted towards to understanding high-level micro-vi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6f74b91f4ff5cc0317f29cc9f4425bf
https://doi.org/10.1109/tmm.2021.3121567
https://doi.org/10.1109/tmm.2021.3121567
Autor:
Hyun Kwon
Publikováno v:
IEEE Access. 11:15164-15173
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccc499c04cba9375830677ce990baf86
https://doi.org/10.1109/access.2021.3121366
https://doi.org/10.1109/access.2021.3121366
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 32:8192-8203
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::430dd5150d468f2373c626de053c9eff
https://doi.org/10.1109/tcsvt.2021.3103784
https://doi.org/10.1109/tcsvt.2021.3103784
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:5126-5139
Most NN-RSs focus on accuracy by building representations from the direct user-item interactions (e.g., user-item rating matrix), while ignoring the underlying relatedness between users and items (e.g., users who rate the same ratings for the same it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::845a2ba5457354ab7d529fed206cd809
https://doi.org/10.1109/tkde.2021.3054782
https://doi.org/10.1109/tkde.2021.3054782
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:5496-5509
Predicting treatment medicines is a key aspect of many intelligent healthcare systems. It's a very challenging task due to the following reasons: (1) heterogeneous nature of EHR data that typically include laboratory results, treatment medicines, dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15def17a281ab5be0a5a3600bb654f6f
https://doi.org/10.1109/tkde.2021.3052992
https://doi.org/10.1109/tkde.2021.3052992
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:6968-6980
In sequential decision-making, imitation learning (IL) trains a policy efficiently by mimicking expert demonstrations. Various imitation methods were proposed and empirically evaluated, meanwhile, their theoretical understandings need further studies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e953c70a171af11d1f26a0fcf3f35692
https://doi.org/10.1109/tpami.2021.3096966
https://doi.org/10.1109/tpami.2021.3096966
Publikováno v:
IEEE Transactions on Evolutionary Computation. 26:1129-1143
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50dc051c46f0cdce98835968a119fd6d
https://doi.org/10.1109/tevc.2021.3131124
https://doi.org/10.1109/tevc.2021.3131124