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Personalized detection of user intentions

Autor: Armentano, M.G., Amandi, A.A.

Publikováno v: In Knowledge-Based Systems 2011 24(8):1169-1180

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Collective Learning in Games through Social Networks

Autor: Kosterman, S., Gierasimczuk, N., Armentano, M.G., Monteserin, A., Tang, J., Yannibelli, V.

Publikováno v: Proceedings of the 1st International Workshop on Social Influence Analysis: co-located with 24th International Joint Conference on Artificial Intelligence (IJCAI 2015) : Buenos Aires, Argentina, July 27, 2015, 35-41
STARTPAGE=35;ENDPAGE=41;TITLE=Proceedings of the 1st International Workshop on Social Influence Analysis

This paper argues that combining social networks communication and games can positively influence the learning behavior of players. We propose a computational model that combines features of social network learning (communication) and game-based lear

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8508f59eef8ceed121744d2761330029
https://dare.uva.nl/personal/pure/en/publications/collective-learning-in-games-through-social-networks(2edae7cf-1c63-47bf-bef5-22f9bb0b7e65).html

Finite element approximations in a non-Lipschitz domain: Part II

Autor: Acosta, G., Armentano, M.G.

Publikováno v: Math. Comput. 2011;80(276):1949-1978
Biblioteca Digital (UBA-FCEN)
Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
instacron:UBA-FCEN

In a paper by R. Durán, A. Lombardi, and the authors (2007) the finite element method was applied to a non-homogeneous Neumann problem on a cuspidal domain Ω ⊂R{double struck}2, and quasi-optimal order error estimates in the energy norm were obta

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::e0d7ad9e3432eedd96b6a583f9344ca6