The extraction from news stories a causal topic centred bayesian graph for sugarcane (2016)
Source: Proceedings. Conference titles: International Database Engineering & Applications Symposium - IDEAS. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, MINERAÇÃO DE DADOS, CANA-DE-AÇÚCAR
ABNT
DRURY, Brett et al. The extraction from news stories a causal topic centred bayesian graph for sugarcane. 2016, Anais.. New York: ACM, 2016. Disponível em: https://doi.org/10.1145/2938503.2938521. Acesso em: 14 nov. 2024.APA
Drury, B., Rocha, C., Moura, M. F., & Lopes, A. de A. (2016). The extraction from news stories a causal topic centred bayesian graph for sugarcane. In Proceedings. New York: ACM. doi:10.1145/2938503.2938521NLM
Drury B, Rocha C, Moura MF, Lopes A de A. The extraction from news stories a causal topic centred bayesian graph for sugarcane [Internet]. Proceedings. 2016 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1145/2938503.2938521Vancouver
Drury B, Rocha C, Moura MF, Lopes A de A. The extraction from news stories a causal topic centred bayesian graph for sugarcane [Internet]. Proceedings. 2016 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1145/2938503.2938521