Anomaly Detection for Categorical Observations Using Latent Gaussian Process.
Fengmao LvGuowu YangJinzhao WuChuan LiuYuhong YangPublished in: ICONIP (5) (2017)
Keyphrases
- anomaly detection
- gaussian process
- latent variables
- latent space
- gaussian processes
- intrusion detection
- anomalous behavior
- detecting anomalies
- regression model
- approximate inference
- bayesian framework
- probabilistic model
- network intrusion detection
- semi supervised
- model selection
- network traffic
- intrusion detection system
- random variables
- hyperparameters
- one class support vector machines
- prior knowledge
- unsupervised learning
- detect anomalies
- negative selection algorithm
- sample size
- learning algorithm
- topic models
- text classification
- computer vision
- random sampling
- generative model
- data analysis
- bayesian networks
- image segmentation