Applying a kernel function on time-dependent data to provide supervised-learning guarantees (2017)
- Authors:
- Autor USP: MELLO, RODRIGO FERNANDES DE - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.eswa.2016.11.028
- Subjects: APRENDIZADO COMPUTACIONAL; ANÁLISE DE SÉRIES TEMPORAIS
- Keywords: Statistical Learning Theory; Time dependency; Kernel function; Takens' immersion theorem; Supervised-learning algorithms
- Language: Inglês
- Imprenta:
- Source:
- Título: Expert Systems with Applications
- ISSN: 0957-4174
- Volume/Número/Paginação/Ano: v. 71, p. 216-229, Apr. 2017
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
PAGLIOSA, Lucas de Carvalho e MELLO, Rodrigo Fernandes de. Applying a kernel function on time-dependent data to provide supervised-learning guarantees. Expert Systems with Applications, v. 71, p. 216-229, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2016.11.028. Acesso em: 22 jan. 2026. -
APA
Pagliosa, L. de C., & Mello, R. F. de. (2017). Applying a kernel function on time-dependent data to provide supervised-learning guarantees. Expert Systems with Applications, 71, 216-229. doi:10.1016/j.eswa.2016.11.028 -
NLM
Pagliosa L de C, Mello RF de. Applying a kernel function on time-dependent data to provide supervised-learning guarantees [Internet]. Expert Systems with Applications. 2017 ; 71 216-229.[citado 2026 jan. 22 ] Available from: https://doi.org/10.1016/j.eswa.2016.11.028 -
Vancouver
Pagliosa L de C, Mello RF de. Applying a kernel function on time-dependent data to provide supervised-learning guarantees [Internet]. Expert Systems with Applications. 2017 ; 71 216-229.[citado 2026 jan. 22 ] Available from: https://doi.org/10.1016/j.eswa.2016.11.028 - A stable and online approach to detect concept drift in data streams
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Informações sobre o DOI: 10.1016/j.eswa.2016.11.028 (Fonte: oaDOI API)
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