SCOT Approximation, Training and Asymptotic Inference.
Mikhail MalyutovPaul GrosuPublished in: COPA (2017)
Keyphrases
- bayesian networks
- structured prediction
- central limit theorem
- training set
- marginal likelihood
- approximation algorithms
- error bounds
- closed form
- probabilistic inference
- partition function
- bayesian inference
- training process
- approximation error
- inference engine
- expert systems
- inference process
- large deviations
- random fields
- training algorithm
- machine learning
- online learning
- supervised learning
- learning algorithm