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pro vyhledávání: '"Santos, Silas Garrido Teixeira de Carvalho"'
Autor:
de Barros, Roberto Souto Maior, Santos, Silas Garrido Teixeira de Carvalho, Barddal, Jean Paul
Data streams are often defined as large amounts of data flowing continuously at high speed. Moreover, these data are likely subject to changes in data distribution, known as concept drift. Given all the reasons mentioned above, learning from streams
Externí odkaz:
http://arxiv.org/abs/2210.03119
Autor:
Cardoso, Halisson Alberdan Cavalcanti, Melo, Silvio de Barros, Silva, Ricardo Martins de Abreu, Carvalho, Sidartha Azevedo Lobo de, Santos, Silas Garrido Teixeira de Carvalho, Dantas, Carlos Costa
Publikováno v:
In Computer Physics Communications January 2021 258
Publikováno v:
Artificial Intelligence Review; Feb2020, Vol. 53 Issue 2, p1293-1322, 30p
Publikováno v:
Repositório Institucional da UFPE
Universidade Federal de Pernambuco (UFPE)
instacron:UFPE
Universidade Federal de Pernambuco (UFPE)
instacron:UFPE
CNPq A predição online em ambientes em que as informações fluem de forma contínua, rápida e em grandes quantidades vem se tornando cada vez mais importante na solução de problemas reais. Nesse tipo de cenário a distribuição dos dados geral
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::bc0d7a733259e53fea29e3efa3cbe32e
https://repositorio.ufpe.br/handle/123456789/34465
https://repositorio.ufpe.br/handle/123456789/34465
Publikováno v:
Repositório Institucional da UFPEUniversidade Federal de PernambucoUFPE.
Submitted by Fabio Sobreira Campos da Costa (fabio.sobreira@ufpe.br) on 2016-07-11T12:33:28Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) silas-dissertacao-versao-final-2016.pdf: 1708159 bytes, checks
Externí odkaz:
https://repositorio.ufpe.br/handle/123456789/17310
Autor:
Santos, Silas Garrido Teixeira de Carvalho, Gonçalves Júnior, Paulo Mauricio, Silva, Geyson Daniel dos Santos, de Barros, Roberto Souto Maior
Publikováno v:
Machine Learning & Knowledge Discovery in Databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part III; 2014, p179-194, 16p
Publikováno v:
Machine Learning & Knowledge Discovery in Databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II; 2014, p1-1, 1p
This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised researc