Fonte: Proceedings. Nome do evento: Annual ACM Symposium on Applied Computing - SAC. Unidade: IFSC
Assuntos: CLASSIFICAÇÃO, ESTATÍSTICA (MODELOS), CADEIAS DE MARKOV, MODELO DE POTTS, ALGORITMOS (EXPERIMENTAÇÃO), IMAGEM POR RESSONÂNCIA MAGNÉTICA
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LEVADA, Alexandre L. M. et al. Spatially non-homogeneous Potts model parameter estimation on higher-order neighborhood systems by maximum pseudo-likelihood. 2008, Anais.. New York: Association for Computing Machinery - ACM, 2008. Disponível em: https://doi.org/10.1145/1363686.1364100. Acesso em: 05 nov. 2024.APA
Levada, A. L. M., Mascarenhas, N. D. A., Tannús, A., & Salvadeo, D. H. P. (2008). Spatially non-homogeneous Potts model parameter estimation on higher-order neighborhood systems by maximum pseudo-likelihood. In Proceedings. New York: Association for Computing Machinery - ACM. doi:10.1145/1363686.1364100NLM
Levada ALM, Mascarenhas NDA, Tannús A, Salvadeo DHP. Spatially non-homogeneous Potts model parameter estimation on higher-order neighborhood systems by maximum pseudo-likelihood [Internet]. Proceedings. 2008 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1145/1363686.1364100Vancouver
Levada ALM, Mascarenhas NDA, Tannús A, Salvadeo DHP. Spatially non-homogeneous Potts model parameter estimation on higher-order neighborhood systems by maximum pseudo-likelihood [Internet]. Proceedings. 2008 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1145/1363686.1364100