Near Optimal Bayesian Active Learning for Decision Making.
Shervin JavdaniYuxin ChenAmin KarbasiAndreas KrauseDrew BagnellSiddhartha S. SrinivasaPublished in: AISTATS (2014)
Keyphrases
- active learning
- decision making
- decision theory
- decision makers
- random sampling
- bayesian inference
- learning algorithm
- supervised learning
- learning strategies
- bayesian analysis
- semi supervised
- labeled data
- training examples
- pool based active learning
- posterior probability
- semi supervised learning
- information processing
- machine learning
- batch mode
- group decision making
- fuzzy logic
- decision process
- data sets
- bayesian estimation
- bayesian learning
- gaussian processes
- relevance feedback
- supply chain
- decision support
- transfer learning
- sample size
- business intelligence
- unlabeled data