Particle competition and cooperation for uncovering network overlap community structure (2011)
- Autores:
- Autor USP: LIANG, ZHAO - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-642-21111-9
- Assuntos: INTELIGÊNCIA ARTIFICIAL; COMPUTAÇÃO GRÁFICA; PROCESSAMENTO DE IMAGENS; SISTEMAS DINÂMICOS
- Idioma: Inglês
- Imprenta:
- Editora: Springer-Verlag
- Local: Heidelberg
- Data de publicação: 2011
- Fonte:
- Título do periódico: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 6677, p. 426-433, 2011
- Nome do evento: International Symposium on Neural Networks : Advances in Neural Networks - ISNN
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
BREVE, Fabricio et al. Particle competition and cooperation for uncovering network overlap community structure. Lecture Notes in Computer Science. Heidelberg: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-21111-9. Acesso em: 13 maio 2024. , 2011 -
APA
Breve, F., Liang, Z., Quiles, M., Pedrycz, W., & Liu, J. (2011). Particle competition and cooperation for uncovering network overlap community structure. Lecture Notes in Computer Science. Heidelberg: Springer-Verlag. doi:10.1007/978-3-642-21111-9 -
NLM
Breve F, Liang Z, Quiles M, Pedrycz W, Liu J. Particle competition and cooperation for uncovering network overlap community structure [Internet]. Lecture Notes in Computer Science. 2011 ; 6677 426-433.[citado 2024 maio 13 ] Available from: https://doi.org/10.1007/978-3-642-21111-9 -
Vancouver
Breve F, Liang Z, Quiles M, Pedrycz W, Liu J. Particle competition and cooperation for uncovering network overlap community structure [Internet]. Lecture Notes in Computer Science. 2011 ; 6677 426-433.[citado 2024 maio 13 ] Available from: https://doi.org/10.1007/978-3-642-21111-9 - Redes de elementos complexos para processamento de informação
- Structural outlier detection: a tourist walk approach
- Network-based high level data classification
- Uncovering overlapping structures via stochastic competitive learning
- Particle competition and cooperation to prevent error propagation from mislabeled data in semi-supervised learning
- Enhancing weak signal transmission through a feedforward network
- Multiple images set classification via network modularity
- Classification of multiple observation sets via network modularity
- Particle competition and cooperation in networks for semi-supervised learning with concept drift
- Aprendizado de máquina em redes complexas
Informações sobre o DOI: 10.1007/978-3-642-21111-9 (Fonte: oaDOI API)
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