Emprego de NFV e Aprendizagem por Reforço para Detectar e Mitigar Anomalias em Redes Definidas por Software.
Pedro H. A. FaustiniAnderson Santos da SilvaLisandro Z. GranvilleAlberto E. Schaeffer-FilhoPublished in: SBRC (2017)
Keyphrases
- computer systems
- expectation maximization
- software systems
- software maintenance
- software design
- software tools
- source code
- software architecture
- real time
- unsupervised learning
- hardware design
- software components
- gaussian mixture model
- test cases
- parameter estimation
- mixture model
- em algorithm
- data processing
- maximum likelihood
- image segmentation
- information systems
- computer vision
- machine learning
- data mining