Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection.
Shaoshen WangYanbin LiuLing ChenChengqi ZhangPublished in: IJCNN (2022)
Keyphrases
- empirical risk minimization
- unsupervised anomaly detection
- anomaly detection
- semi supervised
- intrusion detection
- statistical learning theory
- uniform convergence
- empirical risk
- vc dimension
- pattern mining
- computationally tractable
- kernel machines
- rates of convergence
- generalization bounds
- phase transition
- unsupervised learning
- loss function
- sufficient conditions
- active learning
- fixed number
- machine learning
- supervised learning
- upper bound