A computational framework for interpreting clusters through inductive learning: a case study (2002)
Unidade: ICMCAssunto: INTELIGÊNCIA ARTIFICIAL
ABNT
MARTINS, Claudia Aparecida e MONARD, Maria Carolina e HALEMBECK, Gisele Cristine. A computational framework for interpreting clusters through inductive learning: a case study. . São Carlos: ICMC-USP. Disponível em: https://repositorio.usp.br/directbitstream/8d4a8c27-07b3-45ac-b002-c3f8fbe86f36/BIBLIOTECA_113_RT_173.pdf. Acesso em: 05 jul. 2024. , 2002APA
Martins, C. A., Monard, M. C., & Halembeck, G. C. (2002). A computational framework for interpreting clusters through inductive learning: a case study. São Carlos: ICMC-USP. Recuperado de https://repositorio.usp.br/directbitstream/8d4a8c27-07b3-45ac-b002-c3f8fbe86f36/BIBLIOTECA_113_RT_173.pdfNLM
Martins CA, Monard MC, Halembeck GC. A computational framework for interpreting clusters through inductive learning: a case study [Internet]. 2002 ;[citado 2024 jul. 05 ] Available from: https://repositorio.usp.br/directbitstream/8d4a8c27-07b3-45ac-b002-c3f8fbe86f36/BIBLIOTECA_113_RT_173.pdfVancouver
Martins CA, Monard MC, Halembeck GC. A computational framework for interpreting clusters through inductive learning: a case study [Internet]. 2002 ;[citado 2024 jul. 05 ] Available from: https://repositorio.usp.br/directbitstream/8d4a8c27-07b3-45ac-b002-c3f8fbe86f36/BIBLIOTECA_113_RT_173.pdf