Anomaly Detection Combining Discriminative and Generative Models.
Kyota HigaHideaki SatoSoma ShiraishiKatsumi KikuchiKota IwamotoPublished in: IST (2019)
Keyphrases
- anomaly detection
- generative model
- discriminative models
- discriminative learning
- generative and discriminative models
- semi supervised
- intrusion detection
- probabilistic model
- discriminative methods
- unsupervised learning
- detecting anomalies
- anomalous behavior
- semi supervised learning
- discriminatively trained
- fisher kernel
- naive bayes models
- network anomaly detection
- network traffic
- em algorithm
- network intrusion detection
- one class support vector machines
- topic models
- conditional random fields
- hierarchical hidden markov models
- hidden variables
- intrusion detection system
- prior knowledge
- language modeling
- maximum entropy principle
- learning tasks
- object categories
- expectation maximization
- detect anomalies
- negative selection algorithm
- bayesian networks
- feature extraction
- image statistics
- machine learning
- labeled data
- feature space
- reinforcement learning
- feature selection