Latent Gaussian process for anomaly detection in categorical data.
Fengmao LvTao LiangJiayi ZhaoZhongliu ZhuoJinzhao WuGuowu YangPublished in: Knowl. Based Syst. (2021)
Keyphrases
- anomaly detection
- categorical data
- gaussian process
- latent variables
- gaussian processes
- cluster analysis
- probabilistic model
- approximate inference
- intrusion detection
- semi supervised
- posterior distribution
- regression model
- bayesian framework
- unsupervised learning
- random variables
- attribute values
- hidden variables
- topic models
- model selection
- prior knowledge
- intrusion detection system
- hyperparameters
- detect anomalies
- data sets
- generative model
- real world
- bayesian inference
- knowledge discovery
- hidden markov models