Matches in Wikidata for { <http://www.wikidata.org/entity/Q38791842> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- Q38791842 description "2017 nî lūn-bûn" @default.
- Q38791842 description "2017年の論文" @default.
- Q38791842 description "2017年論文" @default.
- Q38791842 description "2017年論文" @default.
- Q38791842 description "2017年論文" @default.
- Q38791842 description "2017年論文" @default.
- Q38791842 description "2017年論文" @default.
- Q38791842 description "2017年论文" @default.
- Q38791842 description "2017年论文" @default.
- Q38791842 description "2017年论文" @default.
- Q38791842 description "2017年论文" @default.
- Q38791842 description "2017年论文" @default.
- Q38791842 description "2017年论文" @default.
- Q38791842 description "2017년 논문" @default.
- Q38791842 description "article científic" @default.
- Q38791842 description "article scientific" @default.
- Q38791842 description "article scientifique" @default.
- Q38791842 description "articol științific" @default.
- Q38791842 description "articolo scientifico" @default.
- Q38791842 description "artigo científico" @default.
- Q38791842 description "artigo científico" @default.
- Q38791842 description "artigo científico" @default.
- Q38791842 description "artikel ilmiah" @default.
- Q38791842 description "artikull shkencor" @default.
- Q38791842 description "artikulong pang-agham" @default.
- Q38791842 description "artykuł naukowy" @default.
- Q38791842 description "artículo científico publicado en 2017" @default.
- Q38791842 description "artículu científicu espublizáu en 2017" @default.
- Q38791842 description "bilimsel makale" @default.
- Q38791842 description "bài báo khoa học" @default.
- Q38791842 description "naučni članak" @default.
- Q38791842 description "scienca artikolo" @default.
- Q38791842 description "scientific article published on 25 April 2017" @default.
- Q38791842 description "scientific article published on 25 April 2017" @default.
- Q38791842 description "scientific article published on 25 April 2017" @default.
- Q38791842 description "teaduslik artikkel" @default.
- Q38791842 description "tieteellinen artikkeli" @default.
- Q38791842 description "tudományos cikk" @default.
- Q38791842 description "vedecký článok" @default.
- Q38791842 description "vetenskaplig artikel" @default.
- Q38791842 description "videnskabelig artikel" @default.
- Q38791842 description "vitenskapelig artikkel" @default.
- Q38791842 description "vitskapeleg artikkel" @default.
- Q38791842 description "vědecký článek" @default.
- Q38791842 description "wetenschappelijk artikel" @default.
- Q38791842 description "wissenschaftlicher Artikel" @default.
- Q38791842 description "επιστημονικό άρθρο" @default.
- Q38791842 description "мақолаи илмӣ" @default.
- Q38791842 description "наукова стаття, опублікована у квітні 2017" @default.
- Q38791842 description "научна статия" @default.
- Q38791842 description "научная статья" @default.
- Q38791842 description "научни чланак" @default.
- Q38791842 description "научни чланак" @default.
- Q38791842 description "գիտական հոդված հրատարակված 2017 թվականի ապրիլի 25-ին" @default.
- Q38791842 description "מאמר מדעי" @default.
- Q38791842 description "مقالة علمية نشرت في 25 أبريل 2017" @default.
- Q38791842 description "২৫ এপ্রিল ২০১৭-এ প্রকাশিত বৈজ্ঞানিক নিবন্ধ" @default.
- Q38791842 description "บทความทางวิทยาศาสตร์" @default.
- Q38791842 description "სამეცნიერო სტატია" @default.
- Q38791842 name "Hopfield networks as a model of prototype-based category learning: A method to distinguish trained, spurious, and prototypical attractors" @default.
- Q38791842 name "Hopfield networks as a model of prototype-based category learning: A method to distinguish trained, spurious, and prototypical attractors" @default.
- Q38791842 name "Hopfield networks as a model of prototype-based category learning: A method to distinguish trained, spurious, and prototypical attractors" @default.
- Q38791842 type Item @default.
- Q38791842 label "Hopfield networks as a model of prototype-based category learning: A method to distinguish trained, spurious, and prototypical attractors" @default.
- Q38791842 label "Hopfield networks as a model of prototype-based category learning: A method to distinguish trained, spurious, and prototypical attractors" @default.
- Q38791842 label "Hopfield networks as a model of prototype-based category learning: A method to distinguish trained, spurious, and prototypical attractors" @default.
- Q38791842 prefLabel "Hopfield networks as a model of prototype-based category learning: A method to distinguish trained, spurious, and prototypical attractors" @default.
- Q38791842 prefLabel "Hopfield networks as a model of prototype-based category learning: A method to distinguish trained, spurious, and prototypical attractors" @default.
- Q38791842 prefLabel "Hopfield networks as a model of prototype-based category learning: A method to distinguish trained, spurious, and prototypical attractors" @default.
- Q38791842 P1433 Q38791842-CD06A0F1-1E61-4368-ABA0-E990664F090B @default.
- Q38791842 P1476 Q38791842-219E35D9-6B63-4E9C-A6BC-605BEECCFB34 @default.
- Q38791842 P2093 Q38791842-72D99968-C00C-49E5-B8FB-6A43E4EBBB7D @default.
- Q38791842 P2093 Q38791842-B89AA2A0-B08D-4635-A932-4D305D98ABCB @default.
- Q38791842 P2093 Q38791842-FB8243BC-6501-45DF-BED0-B6C0E1D2E0DB @default.
- Q38791842 P304 Q38791842-F1A11BC5-1F94-4379-9A53-95EA04D888C4 @default.
- Q38791842 P31 Q38791842-FCADB674-9EE7-47D4-8C1C-DECC886C077D @default.
- Q38791842 P356 Q38791842-41D1E15A-1B68-4C18-9283-8FFA0D28B9F8 @default.
- Q38791842 P478 Q38791842-4F9B7B60-B846-420C-ADB7-D290758511AB @default.
- Q38791842 P577 Q38791842-6FD1951E-9138-4B11-88A6-74BC68CE8375 @default.
- Q38791842 P698 Q38791842-F1E27367-1B3E-40D1-9141-3D08A8B5A3FA @default.
- Q38791842 P8978 Q38791842-0F2E2DCE-926E-480D-91DE-AA4D93B371B7 @default.
- Q38791842 P921 Q38791842-dd62c0ec-4df5-1377-d6ec-47d35ddb4330 @default.
- Q38791842 P356 J.NEUNET.2017.04.007 @default.
- Q38791842 P698 28494329 @default.
- Q38791842 P8978 GormanRK17 @default.
- Q38791842 P1433 Q15708873 @default.
- Q38791842 P1476 "Hopfield networks as a model of prototype-based category learning: A method to distinguish trained, spurious, and prototypical attractors" @default.
- Q38791842 P2093 "Alistair Knott" @default.
- Q38791842 P2093 "Anthony Robins" @default.
- Q38791842 P2093 "Chris Gorman" @default.
- Q38791842 P304 "76-84" @default.
- Q38791842 P31 Q13442814 @default.
- Q38791842 P356 "10.1016/J.NEUNET.2017.04.007" @default.
- Q38791842 P478 "91" @default.
- Q38791842 P577 "2017-04-25T00:00:00Z" @default.
- Q38791842 P698 "28494329" @default.
- Q38791842 P8978 "journals/nn/GormanRK17" @default.
- Q38791842 P921 Q1407668 @default.