Semi-Supervised Learning of Bearing Anomaly Detection via Deep Variational Autoencoders.
Shen ZhangFei YeBingnan WangThomas G. HabetlerPublished in: CoRR (2019)
Keyphrases
- anomaly detection
- semi supervised learning
- unsupervised learning
- semi supervised
- dirichlet process mixture models
- unlabeled data
- denoising
- intrusion detection
- labeled data
- supervised learning
- machine learning
- network intrusion detection
- image segmentation
- network traffic
- intrusion detection system
- detecting anomalies
- anomalous behavior
- learning problems
- co training
- detect anomalies
- semi supervised classification
- one class support vector machines
- training data
- pairwise
- data mining
- transfer learning
- text classification
- negative selection algorithm
- training set
- data sets
- dimensionality reduction
- natural language