Using dynamical quantization to perform split attempts in online tree regressors (2021)
Source: Pattern Recognition Letters. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, ALGORITMOS ÚTEIS E ESPECÍFICOS
ABNT
MASTELINI, Saulo Martiello e CARVALHO, André Carlos Ponce de Leon Ferreira de. Using dynamical quantization to perform split attempts in online tree regressors. Pattern Recognition Letters, v. 145, p. 37-42, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2021.01.033. Acesso em: 11 jul. 2024.APA
Mastelini, S. M., & Carvalho, A. C. P. de L. F. de. (2021). Using dynamical quantization to perform split attempts in online tree regressors. Pattern Recognition Letters, 145, 37-42. doi:10.1016/j.patrec.2021.01.033NLM
Mastelini SM, Carvalho ACP de LF de. Using dynamical quantization to perform split attempts in online tree regressors [Internet]. Pattern Recognition Letters. 2021 ; 145 37-42.[citado 2024 jul. 11 ] Available from: https://doi.org/10.1016/j.patrec.2021.01.033Vancouver
Mastelini SM, Carvalho ACP de LF de. Using dynamical quantization to perform split attempts in online tree regressors [Internet]. Pattern Recognition Letters. 2021 ; 145 37-42.[citado 2024 jul. 11 ] Available from: https://doi.org/10.1016/j.patrec.2021.01.033