Features of edge-centric collective dynamics in machine learning tasks (2016)
- Authors:
- Autor USP: LIANG, ZHAO - FFCLRP
- Unidade: FFCLRP
- DOI: 10.20906/cps/nsc2016-0003
- Subjects: SISTEMAS DINÂMICOS; APRENDIZADO COMPUTACIONAL
- Keywords: ANALYSIS AND CONTROL OF NONLINEAR DYNAMICAL SYSTEMS WITH PRACTICAL APPLICATIONS; COMPLEX NETWORKS; NONLINEAR DYNAMICS AND COMPLEX SYSTEMS; COLLECTIVE DYNAMICS AND PARTICLE COMPETITION; MACHINE LEARNING
- Language: Inglês
- Imprenta:
- Publisher: INPE
- Publisher place: São José dos Campos
- Date published: 2016
- Source:
- Título: Abstracts
- Conference titles: International Conference on Nonlinear Science and Complexity
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
LIANG, Zhao e VERRI, Filipe Alves Neto e URIO, Paulo Roberto. Features of edge-centric collective dynamics in machine learning tasks. 2016, Anais.. São José dos Campos: INPE, 2016. Disponível em: https://doi.org/10.20906/cps/nsc2016-0003. Acesso em: 04 mar. 2026. -
APA
Liang, Z., Verri, F. A. N., & Urio, P. R. (2016). Features of edge-centric collective dynamics in machine learning tasks. In Abstracts. São José dos Campos: INPE. doi:10.20906/cps/nsc2016-0003 -
NLM
Liang Z, Verri FAN, Urio PR. Features of edge-centric collective dynamics in machine learning tasks [Internet]. Abstracts. 2016 ;[citado 2026 mar. 04 ] Available from: https://doi.org/10.20906/cps/nsc2016-0003 -
Vancouver
Liang Z, Verri FAN, Urio PR. Features of edge-centric collective dynamics in machine learning tasks [Internet]. Abstracts. 2016 ;[citado 2026 mar. 04 ] Available from: https://doi.org/10.20906/cps/nsc2016-0003 - Semi-supervised learning with concept drift using particle dynamics applied to network intrusion detection data
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Informações sobre o DOI: 10.20906/cps/nsc2016-0003 (Fonte: oaDOI API)
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