Probabilistic Structure Learning for EEG/MEG Source Imaging With Hierarchical Graph Priors.
Feng LiuLi WangYifei LouRen-Cang LiPatrick L. PurdonPublished in: IEEE Trans. Medical Imaging (2021)
Keyphrases
- structure learning
- bayesian networks
- graphical models
- event related
- markov logic networks
- probabilistic model
- parameter learning
- conditional independence
- brain activity
- probabilistic reasoning
- brain signals
- transfer learning
- sample size
- structural learning
- belief networks
- image processing
- parameter estimation
- brain computer interface
- generative model
- belief propagation
- network structure
- posterior probability
- directed acyclic graph
- markov networks
- independent component analysis
- random variables
- directed graph
- graph theoretic
- probability distribution
- prior knowledge
- recommender systems