A Triplet Deviation Network Framework: Boosting Weakly-supervised Anomaly Detection By Ensemble Learning.
Hefei LingShuhui PanYuxuan ShiQingsong LiPing LiPublished in: IJCNN (2022)
Keyphrases
- ensemble learning
- anomaly detection
- weakly supervised
- network traffic
- ensemble methods
- generalization ability
- base classifiers
- probabilistic model
- unsupervised learning
- feature selection
- learning algorithm
- information retrieval
- reinforcement learning
- feature space
- information extraction
- concept drift
- object detectors