Regular graph construction for semi-supervised learning (2014)
- Authors:
- USP affiliated authors: LOPES, ALNEU DE ANDRADE - ICMC ; LIANG, ZHAO - FFCLRP
- Unidades: ICMC; FFCLRP
- DOI: 10.1088/1742-6596/490/1/012022
- Subjects: INTELIGÊNCIA ARTIFICIAL; COMPUTAÇÃO GRÁFICA
- Language: Inglês
- Imprenta:
- Publisher: IOP Publishing
- Publisher place: Bristol
- Date published: 2014
- Source:
- Título: Journal of Physics : Conference Series
- ISSN: 1742-6588
- Volume/Número/Paginação/Ano: v. 490, p. 012022-1-012022-4, 2014
- Conference titles: International Conference on Mathematical Modelling in Physical Sciences - IC-MSQUARE
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
VEGA-OLIVEROS, Didier A et al. Regular graph construction for semi-supervised learning. Journal of Physics : Conference Series. Bristol: IOP Publishing. Disponível em: https://doi.org/10.1088/1742-6596/490/1/012022. Acesso em: 18 fev. 2026. , 2014 -
APA
Vega-Oliveros, D. A., Berton, L., Eberle, A. M., Lopes, A. de A., & Liang, Z. (2014). Regular graph construction for semi-supervised learning. Journal of Physics : Conference Series. Bristol: IOP Publishing. doi:10.1088/1742-6596/490/1/012022 -
NLM
Vega-Oliveros DA, Berton L, Eberle AM, Lopes A de A, Liang Z. Regular graph construction for semi-supervised learning [Internet]. Journal of Physics : Conference Series. 2014 ; 490 012022-1-012022-4.[citado 2026 fev. 18 ] Available from: https://doi.org/10.1088/1742-6596/490/1/012022 -
Vancouver
Vega-Oliveros DA, Berton L, Eberle AM, Lopes A de A, Liang Z. Regular graph construction for semi-supervised learning [Internet]. Journal of Physics : Conference Series. 2014 ; 490 012022-1-012022-4.[citado 2026 fev. 18 ] Available from: https://doi.org/10.1088/1742-6596/490/1/012022 - A nonparametric classification method based on K-associated graphs
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- Community detection approach for cluster formation in wireless sensor networks
- Partially labeled data stream classification with the semi-supervised 'capa'-associated graph
- Classification based on the optimal K-associated network
- Streaming data classification with the 'capa'-associated graph
- An incremental learning algorithm based on the k-associated graph for non-stationary data classification
- Classificação de alto nível utilizando grafo k-associados ótimo
- Network-based data classification: combining k-associated optimal graphs and high-level prediction
- Multilevel coarsening for interactive visualization of large bipartite networks
Informações sobre o DOI: 10.1088/1742-6596/490/1/012022 (Fonte: oaDOI API)
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