Experimental evaluation of accuracy of most common machine learning models using pulsar data set (2020)
- Authors:
- USP affiliated authors: FLOREZ, ALEXANDER YLNNER CHOQUENAIRA - ICMC ; VINCES, BRAULIO VALENTIN SÁNCHEZ - ICMC ; ARROYO, DIANA CAROLINA ROCA - ICMC ; SAIRE, JOSIMAR EDINSON CHIRE - ICMC ; FRANCO, PATRÍCIA BATISTA - ICMC
- Unidade: ICMC
- DOI: 10.1109/Incodtrin51881.2020.00027
- Subjects: APRENDIZADO COMPUTACIONAL; PULSARES
- Keywords: Pulsar Star
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos
- Date published: 2020
- Source:
- Título: Proceddings
- Conference titles: International Conference of Digital Transformation and Innovation Technology - Incodtrin
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
FLOREZ, Alexander Ylnner Choquenaira et al. Experimental evaluation of accuracy of most common machine learning models using pulsar data set. 2020, Anais.. Los Alamitos: IEEE, 2020. Disponível em: https://doi.org/10.1109/Incodtrin51881.2020.00027. Acesso em: 10 nov. 2024. -
APA
Florez, A. Y. C., Vinces, B. V. S., Arroyo, D. C. R., Saire, J. E. C., & Franco, P. B. (2020). Experimental evaluation of accuracy of most common machine learning models using pulsar data set. In Proceddings. Los Alamitos: IEEE. doi:10.1109/Incodtrin51881.2020.00027 -
NLM
Florez AYC, Vinces BVS, Arroyo DCR, Saire JEC, Franco PB. Experimental evaluation of accuracy of most common machine learning models using pulsar data set [Internet]. Proceddings. 2020 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1109/Incodtrin51881.2020.00027 -
Vancouver
Florez AYC, Vinces BVS, Arroyo DCR, Saire JEC, Franco PB. Experimental evaluation of accuracy of most common machine learning models using pulsar data set [Internet]. Proceddings. 2020 ;[citado 2024 nov. 10 ] Available from: https://doi.org/10.1109/Incodtrin51881.2020.00027 - McCatch: scalable microcluster detection in dimensional and nondimensional datasets
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Informações sobre o DOI: 10.1109/Incodtrin51881.2020.00027 (Fonte: oaDOI API)
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