Semisupervised Training of Deep Generative Models for High-Dimensional Anomaly Detection.
Qin XiePeng ZhangBoseon YuJaesik ChoiPublished in: IEEE Trans. Neural Networks Learn. Syst. (2022)
Keyphrases
- anomaly detection
- generative model
- semi supervised
- high dimensional
- deep belief networks
- unsupervised learning
- intrusion detection
- probabilistic model
- discriminative learning
- discriminatively trained
- network intrusion detection
- supervised learning
- detecting anomalies
- intrusion detection system
- network traffic
- hierarchical hidden markov models
- semi supervised learning
- anomalous behavior
- discriminative models
- em algorithm
- training set
- conditional random fields
- restricted boltzmann machine
- active learning
- network anomaly detection
- deep learning
- pairwise
- hidden variables
- object detection
- dimensionality reduction
- detect anomalies
- one class support vector machines
- object categories
- expectation maximization
- text mining
- training examples
- co occurrence
- neural network
- feature space
- graphical models
- machine learning
- language model
- data mining