Source: Semi-supervised learning. Unidade: EP
Subjects: APRENDIZADO COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL, ALGORITMOS
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COZMAN, Fabio Gagliardi e COHEN, Ira. Risks of semi-supervised learning: how unlabeled data can degrade performance of generative classifiers. Semi-supervised learning. Tradução . Cambridge: MIT Press, 2006. . Disponível em: https://repositorio.usp.br/directbitstream/df0ebf0c-1d85-4d79-9dd0-d1048287d165/Cozman-2006-risks%20of%20semi%20supervised%20learning.pdf. Acesso em: 16 ago. 2024.APA
Cozman, F. G., & Cohen, I. (2006). Risks of semi-supervised learning: how unlabeled data can degrade performance of generative classifiers. In Semi-supervised learning. Cambridge: MIT Press. Recuperado de https://repositorio.usp.br/directbitstream/df0ebf0c-1d85-4d79-9dd0-d1048287d165/Cozman-2006-risks%20of%20semi%20supervised%20learning.pdfNLM
Cozman FG, Cohen I. Risks of semi-supervised learning: how unlabeled data can degrade performance of generative classifiers [Internet]. In: Semi-supervised learning. Cambridge: MIT Press; 2006. [citado 2024 ago. 16 ] Available from: https://repositorio.usp.br/directbitstream/df0ebf0c-1d85-4d79-9dd0-d1048287d165/Cozman-2006-risks%20of%20semi%20supervised%20learning.pdfVancouver
Cozman FG, Cohen I. Risks of semi-supervised learning: how unlabeled data can degrade performance of generative classifiers [Internet]. In: Semi-supervised learning. Cambridge: MIT Press; 2006. [citado 2024 ago. 16 ] Available from: https://repositorio.usp.br/directbitstream/df0ebf0c-1d85-4d79-9dd0-d1048287d165/Cozman-2006-risks%20of%20semi%20supervised%20learning.pdf