Sparse kernel learning-based feature selection for anomaly detection.
Zhimin PengPrudhvi GurramHeesung KwonWotao YinPublished in: IEEE Trans. Aerosp. Electron. Syst. (2015)
Keyphrases
- anomaly detection
- feature selection
- unsupervised learning
- connectionist systems
- sparse kernel
- learning algorithm
- neural network
- learning tasks
- reinforcement learning
- intrusion detection
- network anomaly detection
- anomalous behavior
- multi task
- maximum likelihood
- supervised learning
- learning process
- network traffic
- support vector
- multiple kernel learning
- text classification
- multi class
- active learning