Optimizing Graphical Model Structure for Distributed Inference in Wireless Sensor Networks.
Chongyu ZhouChen-Khong ThamMehul MotaniPublished in: SECON (2016)
Keyphrases
- graphical models
- probabilistic inference
- undirected graphical models
- factor graphs
- exact inference
- efficient inference algorithms
- graphical structure
- wireless sensor networks
- belief propagation
- map inference
- graph structure
- bayesian networks
- belief networks
- probabilistic graphical models
- markov logic networks
- conditional dependencies
- approximate inference
- probabilistic model
- conditional random fields
- random variables
- structure learning
- gaussian graphical models
- statistical inference
- loopy belief propagation
- nonparametric belief propagation
- probabilistic networks
- directed acyclic
- conditional independence
- markov networks
- message passing
- distributed systems
- directed graphical models
- partition function
- sensor networks
- conditional probabilities
- latent variables
- markov random field