Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data.
Hiroshi TakahashiTomoharu IwataAtsutoshi KumagaiYuki YamanakaPublished in: CoRR (2024)
Keyphrases
- anomaly detection
- unlabeled data
- labeled data
- semi supervised learning
- pu learning
- semi supervised
- active learning
- supervised learning
- intrusion detection
- unsupervised learning
- co training
- labeled examples
- data points
- training set
- text classification
- training data
- anomalous behavior
- labeled and unlabeled data
- learning algorithm
- text categorization
- detecting anomalies
- intrusion detection system
- positive and negative
- training examples
- unlabeled examples
- detect anomalies
- transfer learning
- labeled training data
- one class support vector machines
- unlabeled training data
- class labels
- machine learning
- learning tasks
- positive examples
- feature space