A purity measure based transductive learning algorithm (2013)
- Authors:
- Autor USP: LIANG, ZHAO - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-642-39068-5_49
- 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. 405-412, 2013
- Conference titles: International Symposium on Neural Networks : Advances in Neural Networks - ISNN
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
BERTINI JUNIOR, João Roberto e LIANG, Zhao. A purity measure based transductive learning algorithm. Lecture Notes in Computer Science. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-39068-5_49. Acesso em: 12 fev. 2026. , 2013 -
APA
Bertini Junior, J. R., & Liang, Z. (2013). A purity measure based transductive learning algorithm. Lecture Notes in Computer Science. Berlin: Springer-Verlag. doi:10.1007/978-3-642-39068-5_49 -
NLM
Bertini Junior JR, Liang Z. A purity measure based transductive learning algorithm [Internet]. Lecture Notes in Computer Science. 2013 ; 7952 405-412.[citado 2026 fev. 12 ] Available from: https://doi.org/10.1007/978-3-642-39068-5_49 -
Vancouver
Bertini Junior JR, Liang Z. A purity measure based transductive learning algorithm [Internet]. Lecture Notes in Computer Science. 2013 ; 7952 405-412.[citado 2026 fev. 12 ] Available from: https://doi.org/10.1007/978-3-642-39068-5_49 - Semi-supervised learning with concept drift using particle dynamics applied to network intrusion detection data
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Informações sobre o DOI: 10.1007/978-3-642-39068-5_49 (Fonte: oaDOI API)
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