On Kernel Search Based Gaussian Process Anomaly Detection.
Jan David HüwelAndreas BesginowFabian BernsMarkus Lange-HegermannChristian BeecksPublished in: IN4PL (Revised Selected Papers) (2021)
Keyphrases
- anomaly detection
- gaussian process
- gaussian processes
- gaussian process regression
- intrusion detection
- anomalous behavior
- covariance function
- detecting anomalies
- regression model
- model selection
- approximate inference
- intrusion detection system
- hyperparameters
- one class support vector machines
- semi supervised
- unsupervised learning
- detect anomalies
- network intrusion detection
- latent variables
- network traffic
- negative selection algorithm
- bayesian framework
- data sets
- search space
- cross validation
- feature space
- data analysis
- support vector
- machine learning