Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis.
Ming Bo CaiMichael ShvartsmanAnqi WuHejia ZhangXia ZhuPublished in: CoRR (2020)
Keyphrases
- probabilistic graphical models
- data analysis
- graphical models
- functional magnetic resonance imaging
- first order logic
- markov networks
- data mining
- approximate inference
- handling uncertainty
- conditional random fields
- latent variables
- machine learning
- parameter learning
- exact inference
- neural network
- belief propagation
- rough sets
- random variables
- structure learning
- soft computing
- probabilistic inference
- belief functions
- knowledge base
- fuzzy measures
- image segmentation
- hidden variables
- high dimensional data