Meta-Learning for Automated Selection of Anomaly Detectors for Semi-Supervised Datasets.
David SchubertPritha GuptaMarcel WeverPublished in: CoRR (2022)
Keyphrases
- meta learning
- semi supervised
- inductive learning
- learning tasks
- meta knowledge
- machine learning algorithms
- semi supervised learning
- model selection
- anomaly detection
- machine learning
- supervised learning
- decision trees
- feature selection
- database
- labeled data
- benchmark datasets
- knowledge representation
- active learning
- pairwise
- unlabeled data
- reinforcement learning
- knowledge base
- learning algorithm
- data sets