Advantages of edge-centric collective dynamics in machine learning tasks (2018)
Verri, Filipe Alves Neto 
; Urio, Paulo Roberto ; Zhao, Liang
Source: Journal of Applied Nonlinear Dynamics. Unidades: FFCLRP, ICMC
Subjects: PARTÍCULAS (FÍSICA NUCLEAR), APRENDIZADO COMPUTACIONAL, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VERRI, Filipe Alves Neto e URIO, Paulo Roberto e ZHAO, Liang. Advantages of edge-centric collective dynamics in machine learning tasks. Journal of Applied Nonlinear Dynamics, v. 7, n. 3, p. 269-285, 2018Tradução . . Disponível em: https://doi.org/10.5890/jand.2018.09.005. Acesso em: 01 maio 2026.APA
Verri, F. A. N., Urio, P. R., & Zhao, L. (2018). Advantages of edge-centric collective dynamics in machine learning tasks. Journal of Applied Nonlinear Dynamics, 7( 3), 269-285. doi:10.5890/jand.2018.09.005NLM
Verri FAN, Urio PR, Zhao L. Advantages of edge-centric collective dynamics in machine learning tasks [Internet]. Journal of Applied Nonlinear Dynamics. 2018 ; 7( 3): 269-285.[citado 2026 maio 01 ] Available from: https://doi.org/10.5890/jand.2018.09.005Vancouver
Verri FAN, Urio PR, Zhao L. Advantages of edge-centric collective dynamics in machine learning tasks [Internet]. Journal of Applied Nonlinear Dynamics. 2018 ; 7( 3): 269-285.[citado 2026 maio 01 ] Available from: https://doi.org/10.5890/jand.2018.09.005
