Unsupervised Contextual Anomaly Detection using Joint Deep Variational Generative Models.
Yaniv ShulmanPublished in: CoRR (2019)
Keyphrases
- anomaly detection
- generative model
- deep belief networks
- unsupervised learning
- unsupervised anomaly detection
- semi supervised
- intrusion detection
- deep learning
- probabilistic model
- anomalous behavior
- detecting anomalies
- discriminative models
- discriminative learning
- network traffic
- supervised learning
- weakly supervised
- intrusion detection system
- network anomaly detection
- detect anomalies
- network intrusion detection
- conditional random fields
- hidden variables
- em algorithm
- restricted boltzmann machine
- image segmentation
- prior knowledge
- topic models
- expectation maximization
- one class support vector machines
- semi supervised learning
- negative selection algorithm
- machine learning
- approximate inference
- training data
- hierarchical hidden markov models