Advantages of edge-centric collective dynamics in machine learning tasks (2018)
Verri, Filipe Alves Neto 
; Urio, Paulo Roberto ; Zhao, Liang
Fonte: Journal of Applied Nonlinear Dynamics. Unidades: FFCLRP, ICMC
Assuntos: PARTÍCULAS (FÍSICA NUCLEAR), APRENDIZADO COMPUTACIONAL, REDES NEURAIS
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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: 02 dez. 2025.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 2025 dez. 02 ] 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 2025 dez. 02 ] Available from: https://doi.org/10.5890/jand.2018.09.005
