Random walk in feature-sample networks for semi-supervised classification (2016)
- Authors:
- USP affiliated author: LIANG, ZHAO - FFCLRP
- School: FFCLRP
- DOI: 10.1109/bracis.2016.051
- Subjects: PASSEIOS ALEATÓRIOS; REDES COMPLEXAS
- Keywords: SEMI-SUPERVISED CLASSIFICATION; COMPLEX NETWORKS; POSITIVE-UNLABELED LEARNING; RANDOM WALK
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Annals
- Conference title: Brazilian Conference on Intelligent Systems (BRACIS)
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
VERRI, Filipe Alves Neto e LIANG, Zhao. Random walk in feature-sample networks for semi-supervised classification. 2016, Anais.. Recife: IEEE, 2016. Disponível em: http://dx.doi.org/10.1109/bracis.2016.051. Acesso em: 13 ago. 2022. -
APA
Verri, F. A. N., & Liang, Z. (2016). Random walk in feature-sample networks for semi-supervised classification. In Annals. Recife: IEEE. doi:10.1109/bracis.2016.051 -
NLM
Verri FAN, Liang Z. Random walk in feature-sample networks for semi-supervised classification [Internet]. Annals. 2016 ;[citado 2022 ago. 13 ] Available from: http://dx.doi.org/10.1109/bracis.2016.051 -
Vancouver
Verri FAN, Liang Z. Random walk in feature-sample networks for semi-supervised classification [Internet]. Annals. 2016 ;[citado 2022 ago. 13 ] Available from: http://dx.doi.org/10.1109/bracis.2016.051 - Reconhecimento de padrões multi-valor por redes neurais caóticas
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Informações sobre o DOI: 10.1109/bracis.2016.051 (Fonte: oaDOI API)
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