Structured Cooperative Learning with Graphical Model Priors.
Shuangtong LiTianyi ZhouXinmei TianDacheng TaoPublished in: CoRR (2023)
Keyphrases
- graphical models
- cooperative learning
- cooperative
- belief propagation
- random variables
- probabilistic model
- markov networks
- approximate inference
- learning environment
- probabilistic graphical models
- probabilistic inference
- map inference
- conditional random fields
- belief networks
- bayesian networks
- college level
- problem based learning
- conditional dependencies
- real world
- conditional independence
- factor graphs
- language learning
- concept learning
- exact inference
- gaussian graphical models
- learning community
- data analysis
- particle filter
- multi agent
- graphical structure
- data collection
- intelligent tutoring systems
- nonparametric belief propagation