Ensemble Active Learning by Contextual Bandits for AI Incubation in Manufacturing.
Yingyan ZengXiaoyu ChenRan JinPublished in: CoRR (2023)
Keyphrases
- active learning
- artificial intelligence
- training set
- machine learning
- contextual information
- learning algorithm
- query by committee
- manufacturing systems
- ensemble methods
- learning strategies
- expert systems
- selective sampling
- random sampling
- semi supervised
- ensemble learning
- quality control
- case based reasoning
- intelligent systems
- knowledge representation
- ai systems
- supervised learning
- knowledge based systems
- neural network
- random forests
- manufacturing process
- experimental design
- production planning
- manufacturing processes
- ai technologies
- pool based active learning
- raw material
- stochastic systems
- active learning strategies
- imbalanced data classification
- context dependent
- training data
- unlabeled data
- online learning
- relevance feedback
- lecture notes in artificial intelligence
- imbalanced data
- class imbalance
- batch mode
- training examples
- learning process
- labeled data
- feature selection
- multi armed bandits
- upper bound