Toward optimal probabilistic active learning using a Bayesian approach.
Daniel KottkeMarek HerdeChristoph SandrockDenis HuseljicGeorg KremplBernhard SickPublished in: Mach. Learn. (2021)
Keyphrases
- active learning
- generative model
- experimental design
- bayesian networks
- dynamic programming
- probabilistic model
- closed form
- information retrieval
- optimal solution
- semi supervised
- posterior probability
- optimal strategy
- database
- probabilistic reasoning
- uncertain data
- information theoretic
- learning strategies
- worst case
- decision trees
- machine learning
- data mining
- neural network