Term network approach for transductive classification (2015)
- Authors:
- USP affiliated authors: REZENDE, SOLANGE OLIVEIRA - ICMC ; LOPES, ALNEU DE ANDRADE - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-319-18117-2_37
- Subjects: INTELIGÊNCIA ARTIFICIAL; ANÁLISE DE TEXTO
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Conference titles: International Conference on Computational Linguistics and Intelligent Text Processing - CICLing
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
ROSSI, Rafael Geraldeli e REZENDE, Solange Oliveira e LOPES, Alneu de Andrade. Term network approach for transductive classification. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-18117-2_37. Acesso em: 24 abr. 2024. , 2015 -
APA
Rossi, R. G., Rezende, S. O., & Lopes, A. de A. (2015). Term network approach for transductive classification. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-319-18117-2_37 -
NLM
Rossi RG, Rezende SO, Lopes A de A. Term network approach for transductive classification [Internet]. Lecture Notes in Computer Science. 2015 ;[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/978-3-319-18117-2_37 -
Vancouver
Rossi RG, Rezende SO, Lopes A de A. Term network approach for transductive classification [Internet]. Lecture Notes in Computer Science. 2015 ;[citado 2024 abr. 24 ] Available from: https://doi.org/10.1007/978-3-319-18117-2_37 - Optimization and label propagation in bipartite heterogeneous networks to improve transductive classification of texts
- Inductive model generation for text classification using a bipartite heterogeneous network
- Inductive model generation for text categorization using a bipartite heterogeneous network
- A parameter-free label propagation algorithm using bipartite heterogeneous networks for text classification
- Sistema para extração de informações de artigos científicos - IESYSTEM
- Workshop on Web and Text Intelligence - WTI, 1: Proceedings
- Using bipartite heterogeneous networks to speed up inductive semi-supervised learning and improve automatic text categorization
- Comparing relational and non-relational algorithms for clustering propositional data
- Efficient identification of duplicate bibliographical references
- Information extraction from tagged bibliographical references
Informações sobre o DOI: 10.1007/978-3-319-18117-2_37 (Fonte: oaDOI API)
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