Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior.
Feng LiuLi WangYifei LouRen-Cang LiPatrick L. PurdonPublished in: CoRR (2019)
Keyphrases
- structure learning
- bayesian networks
- graphical models
- event related
- markov logic networks
- conditional independence
- probabilistic model
- parameter learning
- brain activity
- generative model
- probabilistic reasoning
- directed graph
- posterior probability
- prior knowledge
- brain signals
- approximate inference
- transfer learning
- probability distribution
- directed acyclic graph
- structural learning
- network structure
- conditional probabilities
- sample size
- random walk
- belief propagation
- brain computer interface
- random variables
- parameter estimation
- image processing
- learning algorithm
- eeg signals
- information extraction
- probabilistic graphical models
- high dimensional
- training data
- image segmentation
- feature selection