Source: Proceedings. Conference titles: IEEE Symposium Series on Computational Intelligence - SSCI. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO, SEMÂNTICA
ABNT
SINOARA, Roberta A e SCHEICHER, Ricardo B e REZENDE, Solange Oliveira. Evaluation of latent Dirichlet allocation for document organization in different levels of semantic complexity. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/SSCI.2017.8280939. Acesso em: 30 abr. 2024.APA
Sinoara, R. A., Scheicher, R. B., & Rezende, S. O. (2017). Evaluation of latent Dirichlet allocation for document organization in different levels of semantic complexity. In Proceedings. Piscataway: IEEE. doi:10.1109/SSCI.2017.8280939NLM
Sinoara RA, Scheicher RB, Rezende SO. Evaluation of latent Dirichlet allocation for document organization in different levels of semantic complexity [Internet]. Proceedings. 2017 ;[citado 2024 abr. 30 ] Available from: https://doi.org/10.1109/SSCI.2017.8280939Vancouver
Sinoara RA, Scheicher RB, Rezende SO. Evaluation of latent Dirichlet allocation for document organization in different levels of semantic complexity [Internet]. Proceedings. 2017 ;[citado 2024 abr. 30 ] Available from: https://doi.org/10.1109/SSCI.2017.8280939