Ensemble Active Learning by Contextual Bandits for AI Incubation in Manufacturing.
Yingyan ZengXiaoyu ChenRan JinPublished in: ACM Trans. Intell. Syst. Technol. (2024)
Keyphrases
- active learning
- artificial intelligence
- training set
- learning algorithm
- machine learning
- contextual information
- query by committee
- learning strategies
- ensemble learning
- ensemble methods
- case based reasoning
- expert systems
- manufacturing processes
- ai systems
- quality control
- selective sampling
- experimental design
- neural network
- random forests
- pool based active learning
- manufacturing systems
- imbalanced data classification
- labeled data
- knowledge representation
- semi supervised
- supervised learning
- decision trees
- base classifiers
- random sampling
- production planning
- training data
- learning process
- ensemble members
- intelligent systems
- random forest
- training examples
- context sensitive
- product design
- relevance feedback
- online learning
- generalization error
- active learning strategies
- knowledge based systems
- multi armed bandits