Unsupervised Instance Selection with Low-Label, Supervised Learning for Outlier Detection.
Trent J. BradberryChristopher H. HaseLeAnna KentJoel A. GóngoraPublished in: CoRR (2021)
Keyphrases
- outlier detection
- instance selection
- supervised learning
- class labels
- unsupervised learning
- multiple instance learning
- semi supervised learning
- semi supervised
- knowledge discovery
- training data
- detection algorithm
- active learning
- data streams
- learning problems
- training set
- learning algorithm
- training examples
- machine learning
- detecting outliers
- unlabeled data
- training samples
- detect outliers
- labeled data
- learning tasks
- density estimation
- nearest neighbor
- data reduction
- computer vision
- data mining
- text classification
- reinforcement learning
- co training
- knowledge discovery and data mining
- information retrieval
- classification accuracy