Targeted Active Learning for Bayesian Decision-Making.
Louis FilstroffIiris SundinPetrus MikkolaAleksei TiulpinJuuso KylmäojaSamuel KaskiPublished in: Trans. Mach. Learn. Res. (2024)
Keyphrases
- active learning
- decision making
- decision theory
- decision makers
- semi supervised
- selective sampling
- bayesian networks
- learning strategies
- imbalanced data classification
- fuzzy logic
- decision support system
- random sampling
- posterior probability
- active learning strategies
- labeled data
- bayesian learning
- bayesian inference
- machine learning
- influence diagrams
- data mining
- multi class
- making decisions
- decision support
- training set
- cost sensitive
- unlabeled data
- bayesian estimation
- bayesian methods
- decision process
- posterior distribution
- training examples
- data sets
- data driven
- relevance feedback
- learning algorithm
- neural network