Time Series Anomaly Detection via Reinforcement Learning-Based Model Selection.
Jiuqi Elise ZhangDi WuBenoit BouletPublished in: CoRR (2022)
Keyphrases
- model selection
- anomaly detection
- reinforcement learning
- detect anomalies
- unsupervised learning
- cross validation
- machine learning
- intrusion detection
- hyperparameters
- bayesian learning
- detecting anomalies
- network intrusion detection
- statistical learning
- network traffic
- anomalous behavior
- selection criterion
- state space
- network anomaly detection
- intrusion detection system
- one class support vector machines
- gaussian process
- learning algorithm
- model selection criteria
- feature selection
- bayesian information criterion
- information criterion
- negative selection algorithm
- data sets
- learning process
- active learning