Improving Bayesian inference efficiency for sensory anomaly detection and recovery in mobile robots.
Manuel Castellano-QueroJuan-Antonio Fernández-MadrigalAlfonso García-CerezoPublished in: Expert Syst. Appl. (2021)
Keyphrases
- anomaly detection
- bayesian inference
- mobile robot
- intrusion detection
- probabilistic model
- detecting anomalies
- prior information
- network intrusion detection
- intrusion detection system
- network traffic
- anomalous behavior
- unsupervised learning
- network security
- unsupervised anomaly detection
- detect anomalies
- expectation propagation
- behavior analysis
- network anomaly detection
- detecting anomalous
- malware detection
- particle filter
- decision trees
- one class support vector machines
- negative selection algorithm
- data sets
- network intrusion
- machine learning