Bounding the Incentive Ratio of the Probabilistic Serial Rule.
Bo LiAnkang SunShiji XingPublished in: AAMAS (2024)
Keyphrases
- bayesian networks
- upper bound
- generative model
- rule learning
- probabilistic model
- active databases
- context sensitive
- probabilistic logic
- probability theory
- rule induction
- standard deviation
- posterior probability
- probabilistic reasoning
- production rules
- belief networks
- real time
- classification rules
- rough sets
- expert systems
- knowledge base
- information systems