Theoretical learning guarantees applied to acoustic modeling (2019)
Shulby, Christopher D; Ferreira, Martha D; Mello, Rodrigo Fernandes de; Aluísio, Sandra Maria 
Source: Journal of the Brazilian Computer Society. Unidade: ICMC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE VOZ
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SHULBY, Christopher D et al. Theoretical learning guarantees applied to acoustic modeling. Journal of the Brazilian Computer Society, v. 25, p. 1-12, 2019Tradução . . Disponível em: https://doi.org/10.1186/s13173-018-0081-3. Acesso em: 30 abr. 2024.APA
Shulby, C. D., Ferreira, M. D., Mello, R. F. de, & Aluísio, S. M. (2019). Theoretical learning guarantees applied to acoustic modeling. Journal of the Brazilian Computer Society, 25, 1-12. doi:10.1186/s13173-018-0081-3NLM
Shulby CD, Ferreira MD, Mello RF de, Aluísio SM. Theoretical learning guarantees applied to acoustic modeling [Internet]. Journal of the Brazilian Computer Society. 2019 ; 25 1-12.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1186/s13173-018-0081-3Vancouver
Shulby CD, Ferreira MD, Mello RF de, Aluísio SM. Theoretical learning guarantees applied to acoustic modeling [Internet]. Journal of the Brazilian Computer Society. 2019 ; 25 1-12.[citado 2024 abr. 30 ] Available from: https://doi.org/10.1186/s13173-018-0081-3
