An efficient, parallelized algorithm for optimal conditional entropy-based feature selection (2020)
- Authors:
- USP affiliated authors: GUBITOSO, MARCO DIMAS - IME ; FERREIRA, CARLOS EDUARDO - IME ; BARRERA, JUNIOR - IME
- Unidade: IME
- DOI: 10.3390/e22040492
- Assunto: TEORIA DA INFORMAÇÃO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
ESTRELA, Gustavo et al. An efficient, parallelized algorithm for optimal conditional entropy-based feature selection. Entropy, v. 22, n. 4, p. 1-20, 2020Tradução . . Disponível em: https://doi.org/10.3390/e22040492. Acesso em: 28 dez. 2025. -
APA
Estrela, G., Gubitoso, M. D., Ferreira, C. E., Barrera, J., & Reis, M. da S. (2020). An efficient, parallelized algorithm for optimal conditional entropy-based feature selection. Entropy, 22( 4), 1-20. doi:10.3390/e22040492 -
NLM
Estrela G, Gubitoso MD, Ferreira CE, Barrera J, Reis M da S. An efficient, parallelized algorithm for optimal conditional entropy-based feature selection [Internet]. Entropy. 2020 ; 22( 4): 1-20.[citado 2025 dez. 28 ] Available from: https://doi.org/10.3390/e22040492 -
Vancouver
Estrela G, Gubitoso MD, Ferreira CE, Barrera J, Reis M da S. An efficient, parallelized algorithm for optimal conditional entropy-based feature selection [Internet]. Entropy. 2020 ; 22( 4): 1-20.[citado 2025 dez. 28 ] Available from: https://doi.org/10.3390/e22040492 - A new approach for identification of cancer-related pathways using protein networks and genomic data
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Informações sobre o DOI: 10.3390/e22040492 (Fonte: oaDOI API)
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