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Artigo de periodico
Predicting execution time of machine learning tasks for scheduling (2013)
Priya, Rattan; Souza, Bruno Feres de; Rossi, André L. D; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: International Journal of Hybrid Intelligent Systems. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PRIYA, Rattan et al. Predicting execution time of machine learning tasks for scheduling. International Journal of Hybrid Intelligent Systems, v. 10, p. 23-32, 2013Tradução . . Disponível em: https://doi.org/10.3233/HIS-130162. Acesso em: 09 jun. 2024.
APA
Priya, R., Souza, B. F. de, Rossi, A. L. D., & Carvalho, A. C. P. de L. F. de. (2013). Predicting execution time of machine learning tasks for scheduling. International Journal of Hybrid Intelligent Systems, 10, 23-32. doi:10.3233/HIS-130162
NLM
Priya R, Souza BF de, Rossi ALD, Carvalho ACP de LF de. Predicting execution time of machine learning tasks for scheduling [Internet]. International Journal of Hybrid Intelligent Systems. 2013 ; 10 23-32.[citado 2024 jun. 09 ] Available from: https://doi.org/10.3233/HIS-130162
Vancouver
Priya R, Souza BF de, Rossi ALD, Carvalho ACP de LF de. Predicting execution time of machine learning tasks for scheduling [Internet]. International Journal of Hybrid Intelligent Systems. 2013 ; 10 23-32.[citado 2024 jun. 09 ] Available from: https://doi.org/10.3233/HIS-130162
Artigo de periodico
Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems (2011)
Tinós, Renato; Yang, Sehngxiang
Source: International Journal of Hybrid Intelligent Systems. Unidade: FFCLRP
Assunto: CIÊNCIA DA COMPUTAÇÃO
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ABNT
TINÓS, Renato e YANG, Sehngxiang. Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems. International Journal of Hybrid Intelligent Systems, v. 8, n. 3, p. 155-168, 2011Tradução . . Disponível em: https://doi.org/10.3233/his-2011-0136. Acesso em: 09 jun. 2024.
APA
Tinós, R., & Yang, S. (2011). Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems. International Journal of Hybrid Intelligent Systems, 8( 3), 155-168. doi:10.3233/his-2011-0136
NLM
Tinós R, Yang S. Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems [Internet]. International Journal of Hybrid Intelligent Systems. 2011 ; 8( 3): 155-168.[citado 2024 jun. 09 ] Available from: https://doi.org/10.3233/his-2011-0136
Vancouver
Tinós R, Yang S. Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems [Internet]. International Journal of Hybrid Intelligent Systems. 2011 ; 8( 3): 155-168.[citado 2024 jun. 09 ] Available from: https://doi.org/10.3233/his-2011-0136
Artigo de periodico
Selection of algorithms to solve traveling salesman problems using meta-learning (2011)
Kanda, Jorge Yoshio; Carvalho, André Carlos Ponce de Leon Ferreira de ; Hruschka, Eduardo Raul ; Soares, Carlos
Source: International Journal of Hybrid Intelligent Systems. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
KANDA, Jorge Yoshio et al. Selection of algorithms to solve traveling salesman problems using meta-learning. International Journal of Hybrid Intelligent Systems, v. 8, n. 3, p. 117-128, 2011Tradução . . Disponível em: https://doi.org/10.3233/HIS-2011-0133. Acesso em: 09 jun. 2024.
APA
Kanda, J. Y., Carvalho, A. C. P. de L. F. de, Hruschka, E. R., & Soares, C. (2011). Selection of algorithms to solve traveling salesman problems using meta-learning. International Journal of Hybrid Intelligent Systems, 8( 3), 117-128. doi:10.3233/HIS-2011-0133
NLM
Kanda JY, Carvalho ACP de LF de, Hruschka ER, Soares C. Selection of algorithms to solve traveling salesman problems using meta-learning [Internet]. International Journal of Hybrid Intelligent Systems. 2011 ; 8( 3): 117-128.[citado 2024 jun. 09 ] Available from: https://doi.org/10.3233/HIS-2011-0133
Vancouver
Kanda JY, Carvalho ACP de LF de, Hruschka ER, Soares C. Selection of algorithms to solve traveling salesman problems using meta-learning [Internet]. International Journal of Hybrid Intelligent Systems. 2011 ; 8( 3): 117-128.[citado 2024 jun. 09 ] Available from: https://doi.org/10.3233/HIS-2011-0133
Artigo de periodico
BayesRule: a markov-blanket based procedure for extracting a set of probabilistic rules from Bayesian classifiers (2008)
Hruschka Junior, Estevam Rafael ; Nicoletti, Maria do Carmo; Oliveira, Vilma Alves de; Bressan, Glaucia Maria
Source: International Journal of Hybrid Intelligent Systems. Unidade: EESC
Assunto: INFERÊNCIA BAYESIANA
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ABNT
HRUSCHKA JUNIOR, Estevam Rafael et al. BayesRule: a markov-blanket based procedure for extracting a set of probabilistic rules from Bayesian classifiers. International Journal of Hybrid Intelligent Systems, v. 5, p. 83-96, 2008Tradução . . Disponível em: https://doi.org/10.3233/his-2008-5204. Acesso em: 09 jun. 2024.
APA
Hruschka Junior, E. R., Nicoletti, M. do C., Oliveira, V. A. de, & Bressan, G. M. (2008). BayesRule: a markov-blanket based procedure for extracting a set of probabilistic rules from Bayesian classifiers. International Journal of Hybrid Intelligent Systems, 5, 83-96. doi:10.3233/his-2008-5204
NLM
Hruschka Junior ER, Nicoletti M do C, Oliveira VA de, Bressan GM. BayesRule: a markov-blanket based procedure for extracting a set of probabilistic rules from Bayesian classifiers [Internet]. International Journal of Hybrid Intelligent Systems. 2008 ; 5 83-96.[citado 2024 jun. 09 ] Available from: https://doi.org/10.3233/his-2008-5204
Vancouver
Hruschka Junior ER, Nicoletti M do C, Oliveira VA de, Bressan GM. BayesRule: a markov-blanket based procedure for extracting a set of probabilistic rules from Bayesian classifiers [Internet]. International Journal of Hybrid Intelligent Systems. 2008 ; 5 83-96.[citado 2024 jun. 09 ] Available from: https://doi.org/10.3233/his-2008-5204
Artigo de periodico
Multi-objective clustering ensemble (2007)
Faceli, Katti; Carvalho, André Carlos Ponce de Leon Ferreira de ; Souto, Marcílio Carlos Pereira de
Source: International Journal of Hybrid Intelligent Systems. Unidade: ICMC
Assunto: COMPUTAÇÃO BIOINSPIRADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FACELI, Katti e CARVALHO, André Carlos Ponce de Leon Ferreira de e SOUTO, Marcílio Carlos Pereira de. Multi-objective clustering ensemble. International Journal of Hybrid Intelligent Systems, v. 4, n. 3, p. 145-156, 2007Tradução . . Disponível em: https://doi.org/10.3233/his-2007-4302. Acesso em: 09 jun. 2024.
APA
Faceli, K., Carvalho, A. C. P. de L. F. de, & Souto, M. C. P. de. (2007). Multi-objective clustering ensemble. International Journal of Hybrid Intelligent Systems, 4( 3), 145-156. doi:10.3233/his-2007-4302
NLM
Faceli K, Carvalho ACP de LF de, Souto MCP de. Multi-objective clustering ensemble [Internet]. International Journal of Hybrid Intelligent Systems. 2007 ; 4( 3): 145-156.[citado 2024 jun. 09 ] Available from: https://doi.org/10.3233/his-2007-4302
Vancouver
Faceli K, Carvalho ACP de LF de, Souto MCP de. Multi-objective clustering ensemble [Internet]. International Journal of Hybrid Intelligent Systems. 2007 ; 4( 3): 145-156.[citado 2024 jun. 09 ] Available from: https://doi.org/10.3233/his-2007-4302
Artigo de periodico
The modified Hopfield architecture applied in dynamic programming problems and bipartite graph optimization (2007)
Silva, Ivan Nunes da; Goedtel, Alessandro; Flauzino, Rogério Andrade
Source: International Journal of Hybrid Intelligent Systems. Unidade: EESC
Subjects: REDES NEURAIS, SISTEMAS HÍBRIDOS
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ABNT
SILVA, Ivan Nunes da e GOEDTEL, Alessandro e FLAUZINO, Rogério Andrade. The modified Hopfield architecture applied in dynamic programming problems and bipartite graph optimization. International Journal of Hybrid Intelligent Systems, v. 4, n. 1, p. 17-26, 2007Tradução . . Disponível em: https://doi.org/10.3233/his-2007-4103. Acesso em: 09 jun. 2024.
APA
Silva, I. N. da, Goedtel, A., & Flauzino, R. A. (2007). The modified Hopfield architecture applied in dynamic programming problems and bipartite graph optimization. International Journal of Hybrid Intelligent Systems, 4( 1), 17-26. doi:10.3233/his-2007-4103
NLM
Silva IN da, Goedtel A, Flauzino RA. The modified Hopfield architecture applied in dynamic programming problems and bipartite graph optimization [Internet]. International Journal of Hybrid Intelligent Systems. 2007 ; 4( 1): 17-26.[citado 2024 jun. 09 ] Available from: https://doi.org/10.3233/his-2007-4103
Vancouver
Silva IN da, Goedtel A, Flauzino RA. The modified Hopfield architecture applied in dynamic programming problems and bipartite graph optimization [Internet]. International Journal of Hybrid Intelligent Systems. 2007 ; 4( 1): 17-26.[citado 2024 jun. 09 ] Available from: https://doi.org/10.3233/his-2007-4103
Artigo de periodico
Constructing ensembles of symbolic classifiers (2006)
Bernardini, Flávia Cristina; Monard, Maria Carolina; Prati, Ronaldo Cristiano
Source: International Journal of Hybrid Intelligent Systems. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BERNARDINI, Flávia Cristina e MONARD, Maria Carolina e PRATI, Ronaldo Cristiano. Constructing ensembles of symbolic classifiers. International Journal of Hybrid Intelligent Systems, v. 3, n. 3 p. 1-9, 2006Tradução . . Disponível em: https://doi.org/10.1109/ichis.2005.31. Acesso em: 09 jun. 2024.
APA
Bernardini, F. C., Monard, M. C., & Prati, R. C. (2006). Constructing ensembles of symbolic classifiers. International Journal of Hybrid Intelligent Systems, 3( 3 p. 1-9). doi:10.1109/ichis.2005.31
NLM
Bernardini FC, Monard MC, Prati RC. Constructing ensembles of symbolic classifiers [Internet]. International Journal of Hybrid Intelligent Systems. 2006 ; 3( 3 p. 1-9):[citado 2024 jun. 09 ] Available from: https://doi.org/10.1109/ichis.2005.31
Vancouver
Bernardini FC, Monard MC, Prati RC. Constructing ensembles of symbolic classifiers [Internet]. International Journal of Hybrid Intelligent Systems. 2006 ; 3( 3 p. 1-9):[citado 2024 jun. 09 ] Available from: https://doi.org/10.1109/ichis.2005.31

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