Filtros : "Machine learning and data mining in pattern recognition: proceedings" Limpar


  • Source: Machine learning and data mining in pattern recognition. Unidade: FFCLRP

    Subjects: APRENDIZADO COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      OSHIRO, Thais Mayumi e PEREZ, Pedro Santoro e BARANAUSKAS, José Augusto. How many tress in a random forest. Machine learning and data mining in pattern recognition. Tradução . Berlim: Springer, 2012. . Disponível em: https://doi.org/10.1007/978-3-642-31537-4. Acesso em: 10 dez. 2025.
    • APA

      Oshiro, T. M., Perez, P. S., & Baranauskas, J. A. (2012). How many tress in a random forest. In Machine learning and data mining in pattern recognition. Berlim: Springer. doi:10.1007/978-3-642-31537-4
    • NLM

      Oshiro TM, Perez PS, Baranauskas JA. How many tress in a random forest [Internet]. In: Machine learning and data mining in pattern recognition. Berlim: Springer; 2012. [citado 2025 dez. 10 ] Available from: https://doi.org/10.1007/978-3-642-31537-4
    • Vancouver

      Oshiro TM, Perez PS, Baranauskas JA. How many tress in a random forest [Internet]. In: Machine learning and data mining in pattern recognition. Berlim: Springer; 2012. [citado 2025 dez. 10 ] Available from: https://doi.org/10.1007/978-3-642-31537-4

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