Data-Driven End-to-End Delay Violation Probability Prediction with Extreme Value Mixture Models.
Seyed Samie MostafaviGyörgy DánJames GrossPublished in: SEC (2021)
Keyphrases
- mixture model
- extreme values
- data driven
- end to end delay
- gaussian mixture model
- em algorithm
- probabilistic model
- density estimation
- expectation maximization
- unsupervised learning
- ad hoc networks
- mixture modeling
- routing algorithm
- generative model
- language model
- routing protocol
- maximum likelihood
- model selection
- ip networks
- power consumption
- quality of service
- network resources
- machine learning
- lead time
- packet loss
- mobile nodes
- wireless mesh networks
- bayesian networks
- feature extraction