Recommending collaborative filtering algorithms using subsampling landmarkers (2017)
- Authors:
- Autor USP: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-319-67786-6_14
- Subjects: APRENDIZADO COMPUTACIONAL; MINERAÇÃO DE DADOS; RECONHECIMENTO DE PADRÕES
- Keywords: Metalearning; Subsampling landmarkers; Collaborative filtering
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Lecture Notes in Artificial Intelligence
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 10558, p. 189-203, 2017
- Conference titles: International Conference on Discovery Science - DS
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
- Licença: other-oa
-
ABNT
CUNHA, Tiago e SOARES, Carlos e CARVALHO, André Carlos Ponce de Leon Ferreira de. Recommending collaborative filtering algorithms using subsampling landmarkers. 2017, Anais.. Cham: Springer, 2017. p. 189-203. Disponível em: https://doi.org/10.1007/978-3-319-67786-6_14. Acesso em: 18 abr. 2024. -
APA
Cunha, T., Soares, C., & Carvalho, A. C. P. de L. F. de. (2017). Recommending collaborative filtering algorithms using subsampling landmarkers. In Lecture Notes in Artificial Intelligence (Vol. 10558, p. 189-203). Cham: Springer. doi:10.1007/978-3-319-67786-6_14 -
NLM
Cunha T, Soares C, Carvalho ACP de LF de. Recommending collaborative filtering algorithms using subsampling landmarkers [Internet]. Lecture Notes in Artificial Intelligence. 2017 ; 10558 189-203.[citado 2024 abr. 18 ] Available from: https://doi.org/10.1007/978-3-319-67786-6_14 -
Vancouver
Cunha T, Soares C, Carvalho ACP de LF de. Recommending collaborative filtering algorithms using subsampling landmarkers [Internet]. Lecture Notes in Artificial Intelligence. 2017 ; 10558 189-203.[citado 2024 abr. 18 ] Available from: https://doi.org/10.1007/978-3-319-67786-6_14 - Reduction strategies for hierarchical multi-label classification in protein function prediction
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Informações sobre o DOI: 10.1007/978-3-319-67786-6_14 (Fonte: oaDOI API)
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