Semi-supervised learning with concept drift using particle dynamics applied to network intrusion detection data (2013)
- Authors:
- Autor USP: LIANG, ZHAO - FFCLRP
- Unidade: FFCLRP
- Subjects: APRENDIZADO COMPUTACIONAL; COMPUTAÇÃO GRÁFICA; SISTEMAS DINÂMICOS
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: BRICS Contries Congress
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ABNT
BREVE, Fabricio e LIANG, Zhao. Semi-supervised learning with concept drift using particle dynamics applied to network intrusion detection data. 2013, Anais.. Ipojuca: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 2013. . Acesso em: 25 fev. 2026. -
APA
Breve, F., & Liang, Z. (2013). Semi-supervised learning with concept drift using particle dynamics applied to network intrusion detection data. In Proceedings. Ipojuca: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. -
NLM
Breve F, Liang Z. Semi-supervised learning with concept drift using particle dynamics applied to network intrusion detection data. Proceedings. 2013 ;[citado 2026 fev. 25 ] -
Vancouver
Breve F, Liang Z. Semi-supervised learning with concept drift using particle dynamics applied to network intrusion detection data. Proceedings. 2013 ;[citado 2026 fev. 25 ] - Computer-aided music composition with LSTM neural network and chaotic inspiration
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