Neural Batch Sampling with Reinforcement Learning for Semi-supervised Anomaly Detection.
Wen-Hsuan ChuKris M. KitaniPublished in: ECCV (26) (2020)
Keyphrases
- anomaly detection
- semi supervised
- reinforcement learning
- unsupervised anomaly detection
- batch mode
- unsupervised learning
- fitted q iteration
- intrusion detection
- supervised learning
- anomalous behavior
- network intrusion detection
- detecting anomalies
- semi supervised learning
- network traffic
- labeled data
- intrusion detection system
- pairwise
- active learning
- neural network
- one class support vector machines
- network anomaly detection
- behavior analysis
- machine learning
- network security
- network intrusion
- detecting anomalous
- learning problems
- learning process
- malware detection
- computer security