Unsupervised transfer learning for anomaly detection: Application to complementary operating condition transfer.
Gabriel MichauOlga FinkPublished in: Knowl. Based Syst. (2021)
Keyphrases
- transfer learning
- anomaly detection
- knowledge transfer
- learning tasks
- unsupervised learning
- operating conditions
- intrusion detection
- labeled data
- semi supervised learning
- machine learning
- anomalous behavior
- cross domain
- active learning
- semi supervised
- reinforcement learning
- network intrusion detection
- text classification
- collaborative filtering
- supervised learning
- detecting anomalies
- transfer knowledge
- intrusion detection system
- text mining
- steady state
- neural network
- learning algorithm
- machine learning algorithms
- unlabeled data
- one class support vector machines
- transferring knowledge