How To Grade a Test Without Knowing the Answers - A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing.
Yoram BachrachThore GraepelTom MinkaJohn GuiverPublished in: ICML (2012)
Keyphrases
- graphical models
- bayesian networks
- belief propagation
- item response theory
- probabilistic model
- random variables
- test cases
- probabilistic graphical models
- statistical inference
- approximate inference
- map inference
- probabilistic inference
- conditional random fields
- factor graphs
- structure learning
- markov networks
- undirected graphical models
- conditional dependencies
- exact inference
- graph structure
- posterior probability
- conditional independence
- message passing
- bayesian inference
- exponential family
- loopy belief propagation
- belief networks
- nonparametric belief propagation
- models with hidden variables