Diminishing Empirical Risk Minimization for Unsupervised Anomaly Detection.
Shaoshen WangYanbin LiuLing ChenChengqi ZhangPublished in: CoRR (2022)
Keyphrases
- empirical risk minimization
- unsupervised anomaly detection
- anomaly detection
- semi supervised
- intrusion detection
- uniform convergence
- statistical learning theory
- vc dimension
- empirical risk
- unsupervised learning
- pattern mining
- rates of convergence
- phase transition
- supervised learning
- active learning
- lower bound
- upper bound
- computationally tractable
- generalization bounds
- decision function
- data mining
- learning algorithm
- generalization error
- pairwise
- data sets
- feature selection
- high dimensional