Zobrazeno 1 - 10
of 736
pro vyhledávání: '"Andrade, Gabriel A."'
Autor:
Santos de Andrade, Gabriel Paulino1 gabrielpsa22@hotmail.com, Cavalcanti Lelis, Eliacy2 eliacy.lelis@fatec.sp.gov.br
Publikováno v:
Revista Fatec Zona Sul (REFAS). out2024, Vol. 11 Issue 1, p1-17. 17p.
Autor:
Andrade, Gabriel Mayoral, Campos, Eduardo Perez, Ruiz-Rosado, Juan de Dios, Canseco, Emiliano G. Mayoral, Lee, Angela, Vasquez-Martinez, Gabriela
Publikováno v:
In Medical Hypotheses November 2024 192
Autor:
Herman Bernardim Andrade, Gabriel, Nishiyama, Tomohiro, Fujimaki, Takako, Yada, Shuntaro, Wakamiya, Shoko, Takagi, Mari, Kato, Mizuki, Miyashiro, Isao, Aramaki, Eiji
Publikováno v:
In International Journal of Medical Informatics November 2024 191
Games are natural models for multi-agent machine learning settings, such as generative adversarial networks (GANs). The desirable outcomes from algorithmic interactions in these games are encoded as game theoretic equilibrium concepts, e.g. Nash and
Externí odkaz:
http://arxiv.org/abs/2202.11871
Publikováno v:
In Acta Psychologica June 2024 246
Publikováno v:
In International Communications in Heat and Mass Transfer June 2024 155
Autor:
Mohamed, Yehia S., Spaska, Anastasiya, Andrade, Gabriel, Baraka, Mohamed A., Ahmad, Hafiz, Steele, Sinclair, Abu-rish, Eman Y., Nasor, Eiman Mohamed, Forsat, Kowthar, Teir, Hajar Jamal, Bani, Ibrahim, Panigrahi, Debadatta
Publikováno v:
In Infection Prevention in Practice June 2024 6(2)
Kakade, Kearns, and Ortiz (KKO) introduce a graph-theoretic generalization of the classic Arrow--Debreu (AD) exchange economy. Despite its appeal as a networked version of AD, we argue that the KKO model is too local, in the sense that goods cannot t
Externí odkaz:
http://arxiv.org/abs/2106.14397
Autor:
Rabello, Gildeir L., Andrade, Gabriel M.P., de Menezes, Diego Q.F., Soares, Rafael M., Lemos, Tiago S.M., Ribeiro, Leonardo D., Vieira, Bruno F., Pinto, José Carlos
Publikováno v:
In Geoenergy Science and Engineering April 2024 235
A growing number of machine learning architectures, such as Generative Adversarial Networks, rely on the design of games which implement a desired functionality via a Nash equilibrium. In practice these games have an implicit complexity (e.g. from un
Externí odkaz:
http://arxiv.org/abs/2103.03405