Semi-supervised learning using random walk limiting probabilities (2013)
- Authors:
- Autor USP: LIANG, ZHAO - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-642-39068-5_48
- Subjects: INTELIGÊNCIA ARTIFICIAL; COMPUTAÇÃO GRÁFICA; PROCESSAMENTO DE IMAGENS; SISTEMAS DINÂMICOS
- Language: Inglês
- Imprenta:
- Publisher: Springer-Verlag
- Publisher place: Berlin
- Date published: 2013
- Source:
- Título: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 7952, p. 395-404, 2013
- Conference titles: International Symposium on Neural Networks : Advances in Neural Networks - ISNN
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
CUPERTINO, Thiago Henrique e LIANG, Zhao. Semi-supervised learning using random walk limiting probabilities. Lecture Notes in Computer Science. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-39068-5_48. Acesso em: 13 nov. 2024. , 2013 -
APA
Cupertino, T. H., & Liang, Z. (2013). Semi-supervised learning using random walk limiting probabilities. Lecture Notes in Computer Science. Berlin: Springer-Verlag. doi:10.1007/978-3-642-39068-5_48 -
NLM
Cupertino TH, Liang Z. Semi-supervised learning using random walk limiting probabilities [Internet]. Lecture Notes in Computer Science. 2013 ; 7952 395-404.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-642-39068-5_48 -
Vancouver
Cupertino TH, Liang Z. Semi-supervised learning using random walk limiting probabilities [Internet]. Lecture Notes in Computer Science. 2013 ; 7952 395-404.[citado 2024 nov. 13 ] Available from: https://doi.org/10.1007/978-3-642-39068-5_48 - Redes de elementos complexos para processamento de informação
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- Classification of multiple observation sets via network modularity
- Particle competition and cooperation in networks for semi-supervised learning with concept drift
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Informações sobre o DOI: 10.1007/978-3-642-39068-5_48 (Fonte: oaDOI API)
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