Unsupervised Model Selection for Time Series Anomaly Detection.
Mononito GoswamiCristian I. ChalluLaurent CallotLenon MinoricsAndrey KanPublished in: ICLR (2023)
Keyphrases
- model selection
- anomaly detection
- unsupervised learning
- detect anomalies
- unsupervised anomaly detection
- cross validation
- intrusion detection
- detecting anomalies
- bayesian learning
- hyperparameters
- network traffic
- mixture model
- anomalous behavior
- network intrusion detection
- machine learning
- intrusion detection system
- selection criterion
- network anomaly detection
- model selection criteria
- statistical learning
- feature selection
- self organizing maps
- gaussian process
- bayesian information criterion
- real world
- kernel matrix
- support vector machine
- active learning
- semi supervised
- one class support vector machines
- supervised learning