Adding diversity to rank examples in anytime nearest neighbor classification (2014)
- Authors:
- Autor USP: BATISTA, GUSTAVO ENRIQUE DE ALMEIDA PRADO ALVES - ICMC
- Unidade: ICMC
- DOI: 10.1109/ICMLA.2014.26
- Subjects: INTELIGÊNCIA ARTIFICIAL; ALGORITMOS
- Language: Inglês
- Imprenta:
- Publisher: CPS
- Publisher place: Los Alamitos
- Date published: 2014
- Source:
- Título: Proceedings
- Conference titles: International Conference on Machine Learning and Applications - ICMLA
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
LEMES, Cristiano Inácio e SILVA, Diego Furtado e BATISTA, Gustavo Enrique de Almeida Prado Alves. Adding diversity to rank examples in anytime nearest neighbor classification. 2014, Anais.. Los Alamitos: CPS, 2014. Disponível em: https://doi.org/10.1109/ICMLA.2014.26. Acesso em: 21 jan. 2026. -
APA
Lemes, C. I., Silva, D. F., & Batista, G. E. de A. P. A. (2014). Adding diversity to rank examples in anytime nearest neighbor classification. In Proceedings. Los Alamitos: CPS. doi:10.1109/ICMLA.2014.26 -
NLM
Lemes CI, Silva DF, Batista GE de APA. Adding diversity to rank examples in anytime nearest neighbor classification [Internet]. Proceedings. 2014 ;[citado 2026 jan. 21 ] Available from: https://doi.org/10.1109/ICMLA.2014.26 -
Vancouver
Lemes CI, Silva DF, Batista GE de APA. Adding diversity to rank examples in anytime nearest neighbor classification [Internet]. Proceedings. 2014 ;[citado 2026 jan. 21 ] Available from: https://doi.org/10.1109/ICMLA.2014.26 - A study of the use of complexity measures in the similarity search process adopted by kNN algorithm for time series prediction
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Informações sobre o DOI: 10.1109/ICMLA.2014.26 (Fonte: oaDOI API)
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