Graph Coding for Model Selection and Anomaly Detection in Gaussian Graphical Models.
Mojtaba AbolfazliAnders Høst-MadsenJune ZhangAndras BratincsakPublished in: ISIT (2021)
Keyphrases
- model selection
- anomaly detection
- gaussian graphical models
- graphical models
- cross validation
- unsupervised learning
- intrusion detection
- detecting anomalies
- linear models
- hyperparameters
- anomalous behavior
- network intrusion detection
- bayesian learning
- variable selection
- sample size
- machine learning
- network traffic
- intrusion detection system
- belief propagation
- detect anomalies
- regression model
- one class support vector machines
- feature selection
- model selection criteria
- gaussian process
- computer vision
- real world