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This paper presents a hybrid approach to learner modeling into MUSE-Logic, an ITS for logical reasoning learning. A Bayesian network built by experts is first proposed, followed by a model built from data that improves both the Bayesian network struc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed3a4aa238ea2e9667fe7796b6d0a6f5
Publikováno v:
IJCNN
Deep learning has been successfully applied to many tasks such as image classification, feature learning, Text classification (sentiments analysis or opinion mining) etc. However, little research has focused on extracting polarity of sentiments expre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2243275a4a0a71f49f5db2e18493c4c1
https://doi.org/10.1109/ijcnn.2018.8489342
https://doi.org/10.1109/ijcnn.2018.8489342
Publikováno v:
Adaptive & Adaptable Learning; 2016, p627-631, 5p
Publikováno v:
Symbiotic Interaction: 4th International Workshop, Symbiotic 2015, Berlin, Germany, October 7-8, 2015, Proceedings; 2015, p460-466, 7p
Autor:
Tato A; Artificial Intelligence Research Center, Department of Computer Science, Université du Québec à Montréal, Montreal, QC, Canada., Nkambou R; Artificial Intelligence Research Center, Department of Computer Science, Université du Québec à Montréal, Montreal, QC, Canada.
Publikováno v:
Frontiers in artificial intelligence [Front Artif Intell] 2022 Jun 03; Vol. 5, pp. 921476. Date of Electronic Publication: 2022 Jun 03 (Print Publication: 2022).