Source: Neurocomputing. Unidades: EESC, ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, PROCESSAMENTO DE SINAIS, EXPRESSÃO GÊNICA
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ESPEZUA, Soledad et al. A projection pursuit framework for supervised dimension reduction of high dimensional small sample datasets. Neurocomputing, v. fe 2015, p. 767-776, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2014.07.057. Acesso em: 28 ago. 2024.APA
Espezua, S., Villanueva, E., Maciel, C. D., & Carvalho, A. C. P. de L. F. de. (2015). A projection pursuit framework for supervised dimension reduction of high dimensional small sample datasets. Neurocomputing, fe 2015, 767-776. doi:10.1016/j.neucom.2014.07.057NLM
Espezua S, Villanueva E, Maciel CD, Carvalho ACP de LF de. A projection pursuit framework for supervised dimension reduction of high dimensional small sample datasets [Internet]. Neurocomputing. 2015 ; fe 2015 767-776.[citado 2024 ago. 28 ] Available from: https://doi.org/10.1016/j.neucom.2014.07.057Vancouver
Espezua S, Villanueva E, Maciel CD, Carvalho ACP de LF de. A projection pursuit framework for supervised dimension reduction of high dimensional small sample datasets [Internet]. Neurocomputing. 2015 ; fe 2015 767-776.[citado 2024 ago. 28 ] Available from: https://doi.org/10.1016/j.neucom.2014.07.057