CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference.
Vo Nguyen Le DuyHsuan-Tien LinIchiro TakeuchiPublished in: CoRR (2023)
Keyphrases
- domain adaptation
- anomaly detection
- statistical inference
- model selection
- cross domain
- multiple sources
- statistical learning
- graphical models
- intrusion detection
- bayesian inference
- semi supervised learning
- detecting anomalies
- semi supervised
- labeled data
- statistical methods
- unsupervised learning
- sentiment classification
- machine learning
- intrusion detection system
- test data
- target domain
- detect anomalies
- sentiment analysis
- training data
- document classification
- unlabeled data
- object oriented
- pairwise
- bayesian networks
- computer vision
- databases