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 do periódico: Proceedings
- Conference titles: BRICS Contries Congress
-
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: 24 abr. 2024. -
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 2024 abr. 24 ] -
Vancouver
Breve F, Liang Z. Semi-supervised learning with concept drift using particle dynamics applied to network intrusion detection data. Proceedings. 2013 ;[citado 2024 abr. 24 ] - Redes de elementos complexos para processamento de informação
- Structural outlier detection: a tourist walk approach
- Network-based high level data classification
- Uncovering overlapping structures via stochastic competitive learning
- Particle competition and cooperation to prevent error propagation from mislabeled data in semi-supervised learning
- Enhancing weak signal transmission through a feedforward network
- Multiple images set classification via network modularity
- Classification of multiple observation sets via network modularity
- Particle competition and cooperation in networks for semi-supervised learning with concept drift
- Aprendizado de máquina em redes complexas
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