Targeted Active Learning for Bayesian Decision-Making.
Louis FilstroffIiris SundinPetrus MikkolaAleksei TiulpinJuuso KylmäojaSamuel KaskiPublished in: CoRR (2021)
Keyphrases
- active learning
- decision making
- decision theory
- decision makers
- learning strategies
- semi supervised
- decision support system
- bayesian networks
- data mining
- random sampling
- supervised learning
- decision support
- machine learning
- posterior probability
- selective sampling
- training set
- data driven
- relevance feedback
- genetic algorithm
- bayesian estimation
- posterior distribution
- gaussian processes
- bayesian analysis
- making decisions
- music emotion classification
- pool based active learning
- experimental design
- multi criteria
- document clustering
- business intelligence
- unlabeled data
- maximum likelihood
- fuzzy logic
- learning algorithm