An Infinite Multivariate Categorical Mixture Model for Self-Diagnosis of Telecommunication Networks.
Amine EchraibiJoachim Flocon-CholetStéphane GosselinSandrine VatonPublished in: ICIN (2020)
Keyphrases
- mixture model
- telecommunication networks
- discrete event systems
- finite mixtures
- finite mixture models
- em algorithm
- gaussian mixture model
- density estimation
- generative model
- model selection
- unsupervised learning
- probabilistic model
- mixture modeling
- language model
- maximum likelihood
- multivariate data
- model based clustering
- categorical data
- regression model
- probability density function
- expectation maximization
- data sets
- gaussian mixture
- energy efficiency
- finite mixture model
- statistical tests
- prior knowledge
- feature space
- reinforcement learning
- computer vision
- data mining