ReP USP - Resultado da busca

Trabalho de evento
Unsupervised learning of Gaussian mixture models: evolutionary create and eliminate for expectation maximization algorithm (2013)
Covões, Thiago F; Hruschka, Eduardo Raul
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COVÕES, Thiago F e HRUSCHKA, Eduardo Raul. Unsupervised learning of Gaussian mixture models: evolutionary create and eliminate for expectation maximization algorithm. 2013, Anais.. Piscataway: IEEE, 2013. Disponível em: https://doi.org/10.1109/CEC.2013.6557962. Acesso em: 08 nov. 2025.
APA
Covões, T. F., & Hruschka, E. R. (2013). Unsupervised learning of Gaussian mixture models: evolutionary create and eliminate for expectation maximization algorithm. In Proceedings. Piscataway: IEEE. doi:10.1109/CEC.2013.6557962
NLM
Covões TF, Hruschka ER. Unsupervised learning of Gaussian mixture models: evolutionary create and eliminate for expectation maximization algorithm [Internet]. Proceedings. 2013 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1109/CEC.2013.6557962
Vancouver
Covões TF, Hruschka ER. Unsupervised learning of Gaussian mixture models: evolutionary create and eliminate for expectation maximization algorithm [Internet]. Proceedings. 2013 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1109/CEC.2013.6557962
Trabalho de evento
A grammatical evolution algorithm for generation of hierarchical multi-label classification rules (2013)
Cerri, Ricardo; Barros, Rodrigo C; Carvalho, André Carlos Ponce de Leon Ferreira de ; Freitas, Alex A
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CERRI, Ricardo et al. A grammatical evolution algorithm for generation of hierarchical multi-label classification rules. 2013, Anais.. Piscataway: IEEE, 2013. Disponível em: https://doi.org/10.1109/CEC.2013.6557604. Acesso em: 08 nov. 2025.
APA
Cerri, R., Barros, R. C., Carvalho, A. C. P. de L. F. de, & Freitas, A. A. (2013). A grammatical evolution algorithm for generation of hierarchical multi-label classification rules. In Proceedings. Piscataway: IEEE. doi:10.1109/CEC.2013.6557604
NLM
Cerri R, Barros RC, Carvalho ACP de LF de, Freitas AA. A grammatical evolution algorithm for generation of hierarchical multi-label classification rules [Internet]. Proceedings. 2013 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1109/CEC.2013.6557604
Vancouver
Cerri R, Barros RC, Carvalho ACP de LF de, Freitas AA. A grammatical evolution algorithm for generation of hierarchical multi-label classification rules [Internet]. Proceedings. 2013 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1109/CEC.2013.6557604
Trabalho de evento
Ensemble of complete P-partite graph classifiers for non-stationary environments (2013)
Bertini Junior, João Roberto; Nicoletti, Maria do Carmo; Liang, Zhao
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, SISTEMAS DINÂMICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BERTINI JUNIOR, João Roberto e NICOLETTI, Maria do Carmo e LIANG, Zhao. Ensemble of complete P-partite graph classifiers for non-stationary environments. 2013, Anais.. Piscataway: IEEE, 2013. Disponível em: https://doi.org/10.1109/CEC.2013.6557779. Acesso em: 08 nov. 2025.
APA
Bertini Junior, J. R., Nicoletti, M. do C., & Liang, Z. (2013). Ensemble of complete P-partite graph classifiers for non-stationary environments. In Proceedings. Piscataway: IEEE. doi:10.1109/CEC.2013.6557779
NLM
Bertini Junior JR, Nicoletti M do C, Liang Z. Ensemble of complete P-partite graph classifiers for non-stationary environments [Internet]. Proceedings. 2013 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1109/CEC.2013.6557779
Vancouver
Bertini Junior JR, Nicoletti M do C, Liang Z. Ensemble of complete P-partite graph classifiers for non-stationary environments [Internet]. Proceedings. 2013 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1109/CEC.2013.6557779
Trabalho de evento
Attribute-based decision graphs for multiclass data classification (2013)
Bertini Junior, João Roberto; Nicoletti, Maria do Carmo; Liang, Zhao
Source: Proceedings. Conference titles: IEEE Congress on Evolutionary Computation - CEC. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, SISTEMAS DINÂMICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BERTINI JUNIOR, João Roberto e NICOLETTI, Maria do Carmo e LIANG, Zhao. Attribute-based decision graphs for multiclass data classification. 2013, Anais.. Piscataway: IEEE, 2013. Disponível em: https://doi.org/10.1109/CEC.2013.6557776. Acesso em: 08 nov. 2025.
APA
Bertini Junior, J. R., Nicoletti, M. do C., & Liang, Z. (2013). Attribute-based decision graphs for multiclass data classification. In Proceedings. Piscataway: IEEE. doi:10.1109/CEC.2013.6557776
NLM
Bertini Junior JR, Nicoletti M do C, Liang Z. Attribute-based decision graphs for multiclass data classification [Internet]. Proceedings. 2013 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1109/CEC.2013.6557776
Vancouver
Bertini Junior JR, Nicoletti M do C, Liang Z. Attribute-based decision graphs for multiclass data classification [Internet]. Proceedings. 2013 ;[citado 2025 nov. 08 ] Available from: https://doi.org/10.1109/CEC.2013.6557776

USP Schools

ReP

Filtros

Authors