Semi-supervised learning from imperfect data through particle cooperation and competition (2010)
- Authors:
- Autor USP: LIANG, ZHAO - ICMC
- Unidade: ICMC
- DOI: 10.1109/IJCNN.2010.5596659
- Subjects: APRENDIZADO COMPUTACIONAL; REDES COMPLEXAS
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2010
- Source:
- Título: Proceedings
- Conference titles: International Joint Conference on Neural Networks - IJCNN
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
BREVE, Fabricio A e LIANG, Zhao e QUILES, Marcos G. Semi-supervised learning from imperfect data through particle cooperation and competition. 2010, Anais.. Piscataway: IEEE, 2010. Disponível em: https://doi.org/10.1109/IJCNN.2010.5596659. Acesso em: 06 fev. 2026. -
APA
Breve, F. A., Liang, Z., & Quiles, M. G. (2010). Semi-supervised learning from imperfect data through particle cooperation and competition. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN.2010.5596659 -
NLM
Breve FA, Liang Z, Quiles MG. Semi-supervised learning from imperfect data through particle cooperation and competition [Internet]. Proceedings. 2010 ;[citado 2026 fev. 06 ] Available from: https://doi.org/10.1109/IJCNN.2010.5596659 -
Vancouver
Breve FA, Liang Z, Quiles MG. Semi-supervised learning from imperfect data through particle cooperation and competition [Internet]. Proceedings. 2010 ;[citado 2026 fev. 06 ] Available from: https://doi.org/10.1109/IJCNN.2010.5596659 - Semi-supervised learning with concept drift using particle dynamics applied to network intrusion detection data
- Computer-aided music composition with LSTM neural network and chaotic inspiration
- Semi-supervised learning by edge domination in complex networks
- Dimensionality reduction with the k-associated optimal graph applied to image classification
- Bias-guided random walk for network-based data classification
- A review and comparative analysis of coarsening algorithms on bipartite networks
- Chaotic phase synchronization and desynchronization in an oscillator network for object selection
- Random walk in feature-sample networks for semi-supervised classification
- Classificação de alto nível baseada em entropia da rede
- Quarentena e uso de máscara reduziram em 15% o contágio da COVID-19 em SP no início da epidemia. [Depoimento a Elton Alisson]
Informações sobre o DOI: 10.1109/IJCNN.2010.5596659 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
