CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference.
Vo Nguyen Le DuyHsuan-Tien LinIchiro TakeuchiPublished in: AISTATS (2024)
Keyphrases
- anomaly detection
- domain adaptation
- statistical inference
- model selection
- intrusion detection
- graphical models
- statistical learning
- bayesian inference
- multiple sources
- cross domain
- labeled data
- detecting anomalies
- semi supervised
- intrusion detection system
- transfer learning
- object oriented
- machine learning
- target domain
- detect anomalies
- test data
- unsupervised learning
- unlabeled data
- statistical methods
- semi supervised learning
- document classification
- sentiment classification
- real world
- databases
- text mining
- probabilistic model
- training data
- similarity measure
- learning algorithm