Learning Graphical Models from a Distributed Stream.
Yu ZhangSrikanta TirthapuraGraham CormodePublished in: ICDE (2018)
Keyphrases
- graphical models
- belief propagation
- structural learning
- multi agent
- conditional independence
- probabilistic inference
- conditional random fields
- reinforcement learning
- probabilistic graphical models
- approximate inference
- background knowledge
- random variables
- probabilistic model
- prior knowledge
- learning algorithm
- belief networks
- directed acyclic graph
- search algorithm
- markov logic networks
- relational dependency networks